Ignore:
Timestamp:
Aug 28, 2014, 6:04:44 PM (10 years ago)
Author:
meunier
Message:

Trunk:

  • Updating python scripts for simulations and graphs for tsar_generic_xbar (support for rwt and mesi)
Location:
trunk/platforms/tsar_generic_xbar
Files:
8 edited

Legend:

Unmodified
Added
Removed

  • trunk/platforms/tsar_generic_xbar/scripts/counter_defs.py

    r749 r779  
    55
    66stacked_metrics = [ 'nonwrite_broadcast', 'write_broadcast', 'local_m_inv', 'remote_m_inv', 'local_update', 'remote_update' ]
     7
     8m_prot_name = {}
     9m_prot_name['dhccp'] = "DHCCP"
     10m_prot_name['rwt'] = "RWT"
     11m_prot_name['mesi'] = "HMESI"
    712
    813m_app_name = {}
    … …  
    3237m_metric_tag['counter_reset']      = "[000]"
    3338m_metric_tag['ncycles']            = "[001]"
    34 m_metric_tag['local_read']         = "[002]"
    35 m_metric_tag['remote_read']        = "[003]"
    36 m_metric_tag['read_cost']          = "[004]"
    37 m_metric_tag['local_write']        = "[005]"
    38 m_metric_tag['remote_write']       = "[006]"
    39 m_metric_tag['write_flits_local']  = "[007]"
    40 m_metric_tag['write_flits_remote'] = "[008]"
    41 m_metric_tag['write_cost']         = "[009]"
    42 m_metric_tag['local_ll']           = "[010]"
    43 m_metric_tag['remote_ll']          = "[011]"
    44 m_metric_tag['ll_cost']            = "[012]"
    45 m_metric_tag['local_sc']           = "[013]"
    46 m_metric_tag['remote_sc']          = "[014]"
    47 m_metric_tag['sc_cost']            = "[015]"
    48 m_metric_tag['local_cas']          = "[016]"
    49 m_metric_tag['remote_cas']         = "[017]"
    50 m_metric_tag['cas_cost']           = "[018]"
    51 m_metric_tag['req_trig_update']    = "[019]"
    52 m_metric_tag['local_update']       = "[020]"
    53 m_metric_tag['remote_update']      = "[021]"
    54 m_metric_tag['update_cost']        = "[022]"
    55 m_metric_tag['req_trig_m_inv']     = "[023]"
    56 m_metric_tag['local_m_inv']        = "[024]"
    57 m_metric_tag['remote_m_inv']       = "[025]"
    58 m_metric_tag['m_inv_cost']         = "[026]"
    59 m_metric_tag['broadcast']          = "[027]"
    60 m_metric_tag['local_cleanup']      = "[028]"
    61 m_metric_tag['remote_cleanup']     = "[029]"
    62 m_metric_tag['cleanup_cost']       = "[030]"
    63 m_metric_tag['nb_read_miss']       = "[031]"
    64 m_metric_tag['write_miss']         = "[032]"
    65 m_metric_tag['write_dirty']        = "[033]"
    66 m_metric_tag['read_hit_trt']       = "[034]" # Reads blocked by a hit in the TRT
    67 m_metric_tag['trans_full_trt']     = "[035]" # Transactions blocked because the TRT is full
    68 m_metric_tag['put']                = "[036]"
    69 m_metric_tag['get']                = "[037]"
    70 m_metric_tag['write_broadcast']    = "[038]"
    71 
    72 m_metric_tag['total_read']         = "[040]"
    73 m_metric_tag['total_write']        = "[041]"
    74 m_metric_tag['total_ll']           = "[042]"
    75 m_metric_tag['total_sc']           = "[043]"
    76 m_metric_tag['total_cas']          = "[044]"
    77 m_metric_tag['total_update']       = "[045]"
    78 m_metric_tag['total_m_inv']        = "[046]"
    79 m_metric_tag['total_cleanup']      = "[047]"
    80 m_metric_tag['total_direct']       = "[048]"
    81 
    82 m_metric_tag['nonwrite_broadcast'] = "[050]"
    83 m_metric_tag['broadcast_cost']     = "[051]"
    84 m_metric_tag['direct_cost']        = "[052]"
    85 m_metric_tag['total_stacked']      = "|060]"
     39
     40m_metric_tag['local_read']         = "[010]"
     41m_metric_tag['remote_read']        = "[011]"
     42m_metric_tag['read_cost']          = "[012]"
     43
     44m_metric_tag['local_write']        = "[020]"
     45m_metric_tag['remote_write']       = "[021]"
     46m_metric_tag['write_flits_local']  = "[022]"
     47m_metric_tag['write_flits_remote'] = "[023]"
     48m_metric_tag['write_cost']         = "[024]"
     49m_metric_tag['write_l1_miss_ncc']  = "[025]"
     50
     51m_metric_tag['local_ll']           = "[030]"
     52m_metric_tag['remote_ll']          = "[031]"
     53m_metric_tag['ll_cost']            = "[032]"
     54
     55m_metric_tag['local_sc']           = "[040]"
     56m_metric_tag['remote_sc']          = "[041]"
     57m_metric_tag['sc_cost']            = "[042]"
     58
     59m_metric_tag['local_cas']          = "[050]"
     60m_metric_tag['remote_cas']         = "[051]"
     61m_metric_tag['cas_cost']           = "[052]"
     62
     63m_metric_tag['req_trig_update']    = "[060]"
     64m_metric_tag['local_update']       = "[061]"
     65m_metric_tag['remote_update']      = "[062]"
     66m_metric_tag['update_cost']        = "[063]"
     67
     68m_metric_tag['req_trig_m_inv']     = "[070]"
     69m_metric_tag['local_m_inv']        = "[071]"
     70m_metric_tag['remote_m_inv']       = "[072]"
     71m_metric_tag['m_inv_cost']         = "[073]"
     72
     73m_metric_tag['broadcast']          = "[080]"
     74m_metric_tag['write_broadcast']    = "[081]"
     75
     76m_metric_tag['local_cleanup']      = "[090]"
     77m_metric_tag['remote_cleanup']     = "[091]"
     78m_metric_tag['cleanup_cost']       = "[092]"
     79m_metric_tag['cleanup_data_flits'] = "[093]"
     80
     81m_metric_tag['read_miss']          = "[100]"
     82m_metric_tag['write_miss']         = "[101]"
     83m_metric_tag['write_dirty']        = "[102]"
     84m_metric_tag['read_hit_trt']       = "[110]" # Reads blocked by a hit in the TRT
     85m_metric_tag['trans_full_trt']     = "[111]" # Transactions blocked because the TRT is full
     86m_metric_tag['put']                = "[120]"
     87m_metric_tag['get']                = "[121]"
     88m_metric_tag['min_heap_slots_av']  = "[130]"
     89
     90m_metric_tag['ncc_to_cc_read']     = "[140]"
     91m_metric_tag['ncc_to_cc_write']    = "[141]"
     92
     93m_metric_tag['total_read']         = "[500]"
     94m_metric_tag['total_write']        = "[501]"
     95m_metric_tag['total_ll']           = "[502]"
     96m_metric_tag['total_sc']           = "[503]"
     97m_metric_tag['total_cas']          = "[504]"
     98m_metric_tag['total_update']       = "[505]"
     99m_metric_tag['total_m_inv']        = "[506]"
     100m_metric_tag['total_cleanup']      = "[507]"
     101m_metric_tag['total_direct']       = "[508]"
     102m_metric_tag['total_ncc_to_cc']    = "[509]"
     103
     104m_metric_tag['nonwrite_broadcast'] = "[600]"
     105m_metric_tag['broadcast_cost']     = "[601]"
     106m_metric_tag['direct_cost']        = "[602]"
    86107
    87108all_metrics = m_metric_tag.keys()
    … …  
    91112m_metric_name['counter_reset']      = "Counters reset at cycle"
    92113m_metric_name['ncycles']            = "Number of Cycles"
     114
    93115m_metric_name['local_read']         = "Number of Local Reads (Miss in L1)"
    94116m_metric_name['remote_read']        = "Number of Remote Reads (Miss in L1)"
    95117m_metric_name['read_cost']          = "Read Cost"
     118
    96119m_metric_name['local_write']        = "Number of Local Writes"
    97120m_metric_name['remote_write']       = "Number of Remote Writes"
    … …  
    99122m_metric_name['write_flits_remote'] = "Number of Remote Write Flits"
    100123m_metric_name['write_cost']         = "Write Cost"
     124
    101125m_metric_name['local_ll']           = "Number of Local LL"
    102126m_metric_name['remote_ll']          = "Number of Remote LL"
    103127m_metric_name['ll_cost']            = "LL Cost"
     128
    104129m_metric_name['local_sc']           = "Number of Local SC"
    105130m_metric_name['remote_sc']          = "Number of Remote SC"
    106131m_metric_name['sc_cost']            = "SC Cost"
     132
    107133m_metric_name['local_cas']          = "Number of Local CAS"
    108134m_metric_name['remote_cas']         = "Number of Remote CAS"
    109135m_metric_name['cas_cost']           = "CAS Cost"
     136
    110137m_metric_name['req_trig_update']    = "Number of Requests Triggering an Update"
    111138m_metric_name['local_update']       = "Number of Local Updates"
    112139m_metric_name['remote_update']      = "Number of Remote Updates"
    113140m_metric_name['update_cost']        = "Update Cost"
     141
    114142m_metric_name['req_trig_m_inv']     = "Number of Requests Triggering a M.inv"
    115143m_metric_name['local_m_inv']        = "Number of Local Multi Inval"
    116144m_metric_name['remote_m_inv']       = "Number of Remote Multi Inval"
    117145m_metric_name['m_inv_cost']         = "Multi Inval Cost"
    118 m_metric_name['broadcast']          = "Number of Broadcasts"
     146
    119147m_metric_name['broadcast']          = "Total Number of Broadcasts"
     148m_metric_name['write_broadcast']    = "Number of Broadcasts Trig. by Writes"
     149m_metric_name['nonwrite_broadcast'] = "Number of Broadcasts not Trig. by Writes"
     150
    120151m_metric_name['local_cleanup']      = "Number of Local Cleanups"
    121152m_metric_name['remote_cleanup']     = "Number of Remote Cleanups"
    122153m_metric_name['cleanup_cost']       = "Cleanup Cost"
    123 m_metric_name['nb_read_miss']       = "Number of Read Miss (in L2)"
     154
     155m_metric_name['read_miss']          = "Number of Read Miss (in L2)"
    124156m_metric_name['write_miss']         = "Number of Write Miss (in L2)"
    125157m_metric_name['write_dirty']        = "Number of Write Dirty (from L2 to Memory)"
    … …  
    128160m_metric_name['put']                = "Number of PUT to Memory"
    129161m_metric_name['get']                = "Number of GET from Memory"
    130 m_metric_name['write_broadcast']    = "Number of Broadcasts Trig. by Writes"
     162m_metric_name['min_heap_slots_av']  = "Minimum Number of Heap Slots available"
     163
     164m_metric_name['ncc_to_cc_read']     = "Number or Reads trig. NCC to CC"
     165m_metric_name['ncc_to_cc_write']    = "Number of Writes trig. NCC to CC"
    131166
    132167m_metric_name['total_read']         = "Total Number of Reads"
    … …  
    139174m_metric_name['total_cleanup']      = "Total Number of Cleanups"
    140175m_metric_name['total_direct']       = "Total Number of Direct Requests"
    141 m_metric_name['nonwrite_broadcast'] = "Number of Broadcasts not Trig. by Writes"
     176m_metric_name['total_ncc_to_cc']    = "Total Number of NCC to CC Changes"
    142177m_metric_name['broadcast_cost']     = "Broadcast Cost"
    143178m_metric_name['direct_cost']        = "Direct Requests Cost"
    144 m_metric_name['total_stacked']      = "??" # Normalization factor
     179m_metric_name['total_stacked']      = "??" # Normalization factor, does not have a name (unused)
    145180
    146181

  • trunk/platforms/tsar_generic_xbar/scripts/create_graphs.py

    r749 r779  
    44import os
    55import re
    6 
    7 
    8 
     6import sys
     7
     8
     9#apps = [ 'histogram', 'mandel', 'filter', 'radix', 'fft_ga' ]
    910apps = [ 'histogram', 'mandel', 'filter', 'radix', 'radix_ga', 'fft', 'fft_ga', 'filt_ga', 'kmeans', 'pca', 'lu' ]
     11#apps = [ 'fft' ]
    1012nb_procs = [ 1, 4, 8, 16, 32, 64, 128, 256 ]
     13single_protocols = ['dhccp']
     14#joint_protocols = ['dhccp', 'rwt']
     15joint_protocols = []
    1116
    1217top_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..")
    … …  
    2126data_dir = 'data'
    2227
    23 log_init_name = 'log_init_'
    24 log_term_name = 'log_term_'
     28log_stdo_name = '_stdo_'
     29log_term_name = '_term_'
    2530
    2631coherence_tmpl = os.path.join(scripts_path, template_dir, 'coherence_template.gp') # 1 graph per appli
    … …  
    7075exec_time = {}
    7176metrics_val = {}
    72 for app in apps:
    73    exec_time[app] = {}
    74    metrics_val[app] = {}
    75    for i in nb_procs:
    76       metrics_val[app][i] = {}
    77       log_init_file = os.path.join(scripts_path, data_dir, app + '_' + log_init_name + str(i))
    78       log_term_file = os.path.join(scripts_path, data_dir, app + '_' + log_term_name + str(i))
    79 
    80       # Term
    81       lines = open(log_term_file, 'r')
    82       for line in lines:
    83          tokens = line[:-1].split()
    84          if len(tokens) > 0 and tokens[0] == "[PARALLEL_COMPUTE]":
    85             exec_time[app][i] = int(tokens[len(tokens) - 1])
    86 
    87       # Init files
    88       lines = open(log_init_file, 'r')
    89       for line in lines:
    90          tokens = line[:-1].split()
    91          if len(tokens) == 0:
    92             continue
    93          tag = tokens[0]
    94          value = tokens[len(tokens) - 1]
    95          pattern = re.compile('\[0[0-9][0-9]\]')
    96          if pattern.match(tag):
    97             metric = m_metric_id[tag]
    98             if (not metrics_val[app][i].has_key(metric) or tag == "[000]" or tag == "[001]"):
    99                # We don't add cycles of all Memcaches (they must be the same for all)
    100                metrics_val[app][i][metric] = int(value)
    101             else:
    102                metrics_val[app][i][metric] += int(value)
    103            
     77for prot in single_protocols:
     78   metrics_val[prot] = {}
     79   exec_time[prot] = {}
     80   for app in apps:
     81      exec_time[prot][app] = {}
     82      metrics_val[prot][app] = {}
     83      for i in nb_procs:
     84         metrics_val[prot][app][i] = {}
     85         log_stdo_file = os.path.join(scripts_path, data_dir, app + '_' + prot + log_stdo_name + str(i))
     86         log_term_file = os.path.join(scripts_path, data_dir, app + '_' + prot + log_term_name + str(i))
     87   
     88         # Term
     89         lines = open(log_term_file, 'r')
     90         for line in lines:
     91            tokens = line[:-1].split()
     92            if len(tokens) > 0 and tokens[0] == "[PARALLEL_COMPUTE]":
     93               exec_time[prot][app][i] = int(tokens[len(tokens) - 1])
     94   
     95         # Init files
     96         lines = open(log_stdo_file, 'r')
     97         for line in lines:
     98            tokens = line[:-1].split()
     99            if len(tokens) == 0:
     100               continue
     101            tag = tokens[0]
     102            value = tokens[len(tokens) - 1]
     103            pattern = re.compile('\[0[0-9][0-9]\]')
     104            if pattern.match(tag):
     105               metric = m_metric_id[tag]
     106               if (not metrics_val[prot][app][i].has_key(metric) or tag == "[000]" or tag == "[001]"):
     107                  # We don't add cycles of all Memcaches (they must be the same for all)
     108                  metrics_val[prot][app][i][metric] = int(value)
     109               else:
     110                  metrics_val[prot][app][i][metric] += int(value)
     111   
     112# Completing unset metrics (i.e. they are not present in the data file) with 0
     113for prot in single_protocols:
     114   for app in apps:
     115      for i in nb_procs:
     116         for metric in all_metrics:
     117            if metric not in metrics_val[prot][app][i]:
     118               metrics_val[prot][app][i][metric] = 0
     119
    104120# We make a 2nd pass to fill the derived fields, e.g. nb_total_updates
    105 for app in apps:
    106    for i in nb_procs:
    107       x, y = get_x_y(i)
    108       metrics_val[app][i]['total_read']     = metrics_val[app][i]['local_read']    + metrics_val[app][i]['remote_read']
    109       metrics_val[app][i]['total_write']    = metrics_val[app][i]['local_write']   + metrics_val[app][i]['remote_write']
    110       metrics_val[app][i]['total_ll']       = metrics_val[app][i]['local_ll']      + metrics_val[app][i]['remote_ll']
    111       metrics_val[app][i]['total_sc']       = metrics_val[app][i]['local_sc']      + metrics_val[app][i]['remote_sc']
    112       metrics_val[app][i]['total_cas']      = metrics_val[app][i]['local_cas']     + metrics_val[app][i]['remote_cas']
    113       metrics_val[app][i]['total_update']   = metrics_val[app][i]['local_update']  + metrics_val[app][i]['remote_update']
    114       metrics_val[app][i]['total_m_inv']    = metrics_val[app][i]['local_m_inv']   + metrics_val[app][i]['remote_m_inv']
    115       metrics_val[app][i]['total_cleanup']  = metrics_val[app][i]['local_cleanup'] + metrics_val[app][i]['remote_cleanup']
    116       metrics_val[app][i]['total_direct']   = metrics_val[app][i]['total_read']    + metrics_val[app][i]['total_write']
    117       metrics_val[app][i]['direct_cost']    = metrics_val[app][i]['read_cost']     + metrics_val[app][i]['write_cost']
    118       metrics_val[app][i]['broadcast_cost'] = metrics_val[app][i]['broadcast'] * (x * y - 1)
    119       if metrics_val[app][i]['broadcast'] < metrics_val[app][i]['write_broadcast']:
    120          # test to patch a bug in mem_cache
    121          metrics_val[app][i]['nonwrite_broadcast'] = 0
    122       else:
    123          metrics_val[app][i]['nonwrite_broadcast'] = metrics_val[app][i]['broadcast'] - metrics_val[app][i]['write_broadcast']
    124 
    125       metrics_val[app][i]['total_stacked'] = 0
    126       for stacked_metric in stacked_metrics:
    127          metrics_val[app][i]['total_stacked'] += metrics_val[app][i][stacked_metric]
     121for prot in single_protocols:
     122   for app in apps:
     123      for i in nb_procs:
     124         x, y = get_x_y(i)
     125         metrics_val[prot][app][i]['total_read']      = metrics_val[prot][app][i]['local_read']     + metrics_val[prot][app][i]['remote_read']
     126         metrics_val[prot][app][i]['total_write']     = metrics_val[prot][app][i]['local_write']    + metrics_val[prot][app][i]['remote_write']
     127         metrics_val[prot][app][i]['total_ll']        = metrics_val[prot][app][i]['local_ll']       + metrics_val[prot][app][i]['remote_ll']
     128         metrics_val[prot][app][i]['total_sc']        = metrics_val[prot][app][i]['local_sc']       + metrics_val[prot][app][i]['remote_sc']
     129         metrics_val[prot][app][i]['total_cas']       = metrics_val[prot][app][i]['local_cas']      + metrics_val[prot][app][i]['remote_cas']
     130         metrics_val[prot][app][i]['total_update']    = metrics_val[prot][app][i]['local_update']   + metrics_val[prot][app][i]['remote_update']
     131         metrics_val[prot][app][i]['total_m_inv']     = metrics_val[prot][app][i]['local_m_inv']    + metrics_val[prot][app][i]['remote_m_inv']
     132         metrics_val[prot][app][i]['total_cleanup']   = metrics_val[prot][app][i]['local_cleanup']  + metrics_val[prot][app][i]['remote_cleanup']
     133         metrics_val[prot][app][i]['total_direct']    = metrics_val[prot][app][i]['total_read']     + metrics_val[prot][app][i]['total_write']
     134         metrics_val[prot][app][i]['total_ncc_to_cc'] = metrics_val[prot][app][i]['ncc_to_cc_read'] + metrics_val[prot][app][i]['ncc_to_cc_write']
     135         metrics_val[prot][app][i]['direct_cost']     = metrics_val[prot][app][i]['read_cost']      + metrics_val[prot][app][i]['write_cost']
     136         metrics_val[prot][app][i]['broadcast_cost']  = metrics_val[prot][app][i]['broadcast'] * (x * y - 1)
     137         if metrics_val[prot][app][i]['broadcast'] < metrics_val[prot][app][i]['write_broadcast']:
     138            # test to patch a bug in mem_cache
     139            metrics_val[prot][app][i]['nonwrite_broadcast'] = 0
     140         else:
     141            metrics_val[prot][app][i]['nonwrite_broadcast'] = metrics_val[prot][app][i]['broadcast'] - metrics_val[prot][app][i]['write_broadcast']
     142   
     143         metrics_val[prot][app][i]['total_stacked'] = 0
     144         for stacked_metric in stacked_metrics:
     145            metrics_val[prot][app][i]['total_stacked'] += metrics_val[prot][app][i][stacked_metric]
    128146
    129147           
    … …  
    138156############################################################
    139157
    140 for app in apps:
    141    data_coherence_name = os.path.join(scripts_path, gen_dir, app + '_coherence.dat')
    142    gp_coherence_name   = os.path.join(scripts_path, gen_dir, app + '_coherence.gp')
    143 
    144    # Creating the data file
     158for prot in single_protocols:
     159   for app in apps:
     160      data_coherence_name = os.path.join(scripts_path, gen_dir, prot + '_' + app + '_coherence.dat')
     161      gp_coherence_name   = os.path.join(scripts_path, gen_dir, prot + '_' + app + '_coherence.gp')
     162   
     163      # Creating the data file
     164      width = 15
     165      content = ""
     166     
     167      for metric in [ '#nb_procs' ] + grouped_metrics:
     168         content += metric + " "
     169         nb_spaces = width - len(metric)
     170         content += nb_spaces * ' '
     171      content += "\n"
     172   
     173      for i in nb_procs:
     174         content += "%-15d " % i
     175         for metric in grouped_metrics:
     176            val = float(metrics_val[prot][app][i][metric]) / exec_time[prot][app][i] * 1000
     177            content += "%-15f " % val
     178         content += "\n"
     179     
     180      create_file(data_coherence_name, content)
     181   
     182      # Creating the gp file
     183      template_file = open(coherence_tmpl, 'r')
     184      template = template_file.read()
     185     
     186      plot_str = ""
     187      col = 2
     188      for metric in grouped_metrics:
     189         if metric != grouped_metrics[0]:
     190            plot_str += ", \\\n    "
     191         plot_str += "\"" + data_coherence_name + "\" using ($1):($" + str(col) + ") lc rgb " + colors[col - 2] + " title \"" + m_metric_name[metric] + "\" with linespoint"
     192         col += 1
     193      gp_commands = template % dict(app_name = m_app_name[app], nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, prot + '_' + app + '_coherence'))
     194     
     195      create_file(gp_coherence_name, gp_commands)
     196     
     197      # Calling gnuplot
     198      print "gnuplot", gp_coherence_name
     199      subprocess.call([ 'gnuplot', gp_coherence_name ])
     200
     201
     202############################################################
     203### Graph 2 : Speedup per Application                    ###
     204############################################################
     205
     206for prot in single_protocols:
     207   for app in apps:
     208   
     209      data_speedup_name = os.path.join(scripts_path, gen_dir, prot + '_' + app + '_speedup.dat')
     210      gp_speedup_name   = os.path.join(scripts_path, gen_dir, prot + '_' + app + '_speedup.gp')
     211     
     212      # Creating data file
     213      width = 15
     214      content = "#nb_procs"
     215      nb_spaces = width - len(content)
     216      content += nb_spaces * ' '
     217      content += "speedup\n"
     218   
     219      for i in nb_procs:
     220         content += "%-15d " % i
     221         val = exec_time[prot][app][i]
     222         content += "%-15f\n" % (exec_time[prot][app][1] / float(val))
     223   
     224      plot_str = "\"" + data_speedup_name + "\" using ($1):($2) lc rgb \"#654387\" title \"Speedup\" with linespoint"
     225     
     226      create_file(data_speedup_name, content)
     227     
     228      # Creating the gp file
     229      template_file = open(speedup_tmpl, 'r')
     230      template = template_file.read()
     231     
     232      gp_commands = template % dict(appli = m_app_name[app], nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, prot + '_' + app + '_speedup'))
     233     
     234      create_file(gp_speedup_name, gp_commands)
     235     
     236      # Calling gnuplot
     237      print "gnuplot", gp_speedup_name
     238      subprocess.call([ 'gnuplot', gp_speedup_name ])
     239
     240
     241############################################################
     242### Graph 3 : All speedups on the same Graph             ###
     243############################################################
     244
     245for prot in single_protocols:
     246   # This graph uses the same template as the graph 2
     247   data_speedup_name = os.path.join(scripts_path, gen_dir, prot + '_all_speedup.dat')
     248   gp_speedup_name   = os.path.join(scripts_path, gen_dir, prot + '_all_speedup.gp')
     249   
     250   # Creating data file
    145251   width = 15
    146    content = ""
    147    
    148    for metric in [ '#nb_procs' ] + grouped_metrics:
    149       content += metric + " "
    150       nb_spaces = width - len(metric)
    151       content += nb_spaces * ' '
     252   content = "#nb_procs"
     253   nb_spaces = width - len(content)
     254   content += (nb_spaces + 1) * ' '
     255   for app in apps:
     256      content += app + " "
     257      content += (width - len(app)) * " "
    152258   content += "\n"
    153 
     259   
    154260   for i in nb_procs:
    155261      content += "%-15d " % i
    156       for metric in grouped_metrics:
    157          val = float(metrics_val[app][i][metric]) / exec_time[app][i] * 1000
    158          content += "%-15f " % val
     262      for app in apps:
     263         val = exec_time[prot][app][i]
     264         content += "%-15f " % (exec_time[prot][app][1] / float(val))
    159265      content += "\n"
    160266   
    161    create_file(data_coherence_name, content)
    162 
    163    # Creating the gp file
    164    template_file = open(coherence_tmpl, 'r')
     267   create_file(data_speedup_name, content)
     268   
     269   # Creating gp file
     270   template_file = open(speedup_tmpl, 'r')
    165271   template = template_file.read()
    166272   
    167273   plot_str = ""
    168274   col = 2
    169    for metric in grouped_metrics:
    170       if metric != grouped_metrics[0]:
    171          plot_str += ", \\\n    "
    172       plot_str += "\"" + data_coherence_name + "\" using ($1):($" + str(col) + ") lc rgb " + colors[col - 2] + " title \"" + m_metric_name[metric] + "\" with linespoint"
     275   for app in apps:
     276      if app != apps[0]:
     277         plot_str += ", \\\n     "
     278      plot_str += "\"" + data_speedup_name + "\" using ($1):($" + str(col) + ") lc rgb %s title \"" % (colors[col - 2])  + m_app_name[app] + "\" with linespoint"
    173279      col += 1
    174    gp_commands = template % dict(app_name = m_app_name[app], nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, app + '_coherence'))
    175    
    176    create_file(gp_coherence_name, gp_commands)
    177    
     280   
     281   gp_commands = template % dict(appli = "All Applications", nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, prot + '_all_speedup'))
     282     
     283   create_file(gp_speedup_name, gp_commands)
     284     
    178285   # Calling gnuplot
    179    print "gnuplot", gp_coherence_name
    180    subprocess.call([ 'gnuplot', gp_coherence_name ])
    181 
    182 
    183 ############################################################
    184 ### Graph 2 : Speedup per Application                    ###
    185 ############################################################
     286   print "gnuplot", gp_speedup_name
     287   subprocess.call([ 'gnuplot', gp_speedup_name ])
     288
     289
     290############################################################
     291### Graph 4 : Graph per metric                           ###
     292############################################################
     293
     294# The following section creates the graphs grouped by measure (e.g. #broadcasts)
     295# The template file cannot be easily created otherwise it would not be generic
     296# in many ways. This is why it is mainly created here.
     297# Graphs are created for metric in the "individual_metrics" list
     298
     299for prot in single_protocols:
     300   for metric in individual_metrics:
     301      data_metric_name = os.path.join(scripts_path, gen_dir, prot + '_' + metric + '.dat')
     302      gp_metric_name   = os.path.join(scripts_path, gen_dir, prot + '_' + metric + '.gp')
     303   
     304      # Creating the gp file
     305      # Setting xtics, i.e. number of procs for each application
     306      xtics_str = "("
     307      first = True
     308      xpos = 1
     309      app_labels = ""
     310      for num_appli in range(0, len(apps)):
     311         for i in nb_procs:
     312            if not first:
     313               xtics_str += ", "
     314            first = False
     315            if i == nb_procs[0]:
     316               xpos_first = xpos
     317            xtics_str += "\"%d\" %.1f" % (i, xpos)
     318            xpos_last = xpos
     319            xpos += 1.5
     320         xpos += 0.5
     321         app_name_xpos = float((xpos_first + xpos_last)) / 2
     322         app_labels += "set label \"%s\" at first %f,character 1 center font \"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
     323      xtics_str += ")"
     324   
     325      xmax_val = float(xpos - 1)
     326   
     327      # Writing the lines of "plot"
     328      plot_str = ""
     329      xpos = 0
     330      first = True
     331      column = 2
     332      for i in range(0, len(nb_procs)):
     333         if not first:
     334            plot_str += ", \\\n    "
     335         first = False
     336         plot_str += "\"%s\" using ($1+%.1f):($%d) lc rgb %s notitle with boxes" % (data_metric_name, xpos, column, colors[i])
     337         column += 1
     338         xpos += 1.5
     339   
     340      template_file = open(metric_tmpl, 'r')
     341      template = template_file.read()
     342   
     343      gp_commands = template % dict(xtics_str = xtics_str, app_labels = app_labels, ylabel_str = m_metric_name[metric], norm_factor_str = m_norm_factor_name[m_metric_norm[metric]], xmax_val = xmax_val, plot_str = plot_str, svg_name = os.path.join(graph_dir, prot + '_' + metric))
     344   
     345      create_file(gp_metric_name, gp_commands)
     346     
     347      # Creating the data file
     348      width = 15
     349      content = "#x_pos"
     350      nb_spaces = width - len(content)
     351      content += nb_spaces * ' '
     352      for i in nb_procs:
     353         content += "%-15d" % i
     354      content += "\n"
     355   
     356      x_pos = 1
     357      for app in apps:
     358         # Computation of x_pos
     359         content += "%-15f" % x_pos
     360         x_pos += len(nb_procs) * 1.5 + 0.5
     361         for i in nb_procs:
     362            if m_metric_norm[metric] == "N":
     363               content += "%-15d" % (metrics_val[prot][app][i][metric])
     364            elif m_metric_norm[metric] == "P":
     365               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / i)
     366            elif m_metric_norm[metric] == "C":
     367               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / exec_time[prot][app][i] * 1000)
     368            elif m_metric_norm[metric] == "W":
     369               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / float(metrics_val[prot][app][i]['total_write'])) # Number of writes
     370            elif m_metric_norm[metric] == "R":
     371               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / float(metrics_val[prot][app][i]['total_read'])) # Number of reads
     372            elif m_metric_norm[metric] == "D":
     373               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / float(metrics_val[prot][app][i]['total_direct'])) # Number of req.
     374            elif is_numeric(m_metric_norm[metric]):
     375               content += "%-15f" % (float(metrics_val[prot][app][i][metric]) / float(metrics_val[prot][app][int(m_metric_norm[metric])][metric]))
     376            else:
     377               assert(False)
     378   
     379         app_name = m_app_name[app]
     380         content += "#" + app_name + "\n"
     381     
     382      create_file(data_metric_name, content)
     383   
     384      # Calling gnuplot
     385      print "gnuplot", gp_metric_name
     386      subprocess.call([ 'gnuplot', gp_metric_name ])
     387
     388
     389############################################################
     390### Graph 5 : Stacked histogram with counters            ###
     391############################################################
     392
     393# The following section creates a stacked histogram containing
     394# the metrics in the "stacked_metric" list
     395# It is normalized per application w.r.t the values on 256 procs
     396
     397for prot in single_protocols:
     398   data_stacked_name = os.path.join(scripts_path, gen_dir, prot + '_stacked.dat')
     399   gp_stacked_name   = os.path.join(scripts_path, gen_dir, prot + '_stacked.gp')
     400   
     401   norm_factor_value = 256
     402   
     403   # Creating the gp file
     404   template_file = open(stacked_tmpl, 'r')
     405   template = template_file.read()
     406   
     407   xtics_str = "("
     408   first = True
     409   xpos = 1
     410   app_labels = ""
     411   for num_appli in range(0, len(apps)):
     412      for i in nb_procs:
     413         if not first:
     414            xtics_str += ", "
     415         first = False
     416         if i == nb_procs[0]:
     417            xpos_first = xpos
     418         xtics_str += "\"%d\" %d -1" % (i, xpos)
     419         xpos_last = xpos
     420         xpos += 1
     421      xpos += 1
     422      app_name_xpos = float((xpos_first + xpos_last)) / 2
     423      app_labels += "set label \"%s\" at first %f,character 1 center font \"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
     424   xtics_str += ")"
     425   
     426   plot_str = "newhistogram \"\""
     427   n = 1
     428   for stacked_metric in stacked_metrics:
     429      plot_str += ", \\\n    " + "'" + data_stacked_name + "'" + " using " + str(n) + " lc rgb " + colors[n] + " title \"" + m_metric_name[stacked_metric] + "\""
     430      n += 1
     431   
     432   ylabel_str = "Breakdown of Coherence Traffic Normalized w.r.t. \\nthe Values on %d Processors" % norm_factor_value
     433   content = template % dict(svg_name = os.path.join(graph_dir, prot + '_stacked'), xtics_str = xtics_str, plot_str = plot_str, ylabel_str = ylabel_str, app_labels = app_labels, prot_labels = "")
     434   
     435   create_file(gp_stacked_name, content)
     436   
     437   # Creating the data file
     438   # Values are normalized by application, w.r.t. the number of requests for a given number of procs
     439   content = "#"
     440   for stacked_metric in stacked_metrics:
     441      content += stacked_metric
     442      content += ' ' + ' ' * (15 - len(stacked_metric))
     443   content += "\n"
     444   for app in apps:
     445      if app != apps[0]:
     446         for i in range(0, len(stacked_metrics)):
     447            content += "%-15f" % 0.0
     448         content += "\n"
     449      for i in nb_procs:
     450         for stacked_metric in stacked_metrics:
     451            content += "%-15f" % (float(metrics_val[prot][app][i][stacked_metric]) / metrics_val[prot][app][norm_factor_value]['total_stacked'])
     452         content += "\n"
     453   
     454   create_file(data_stacked_name, content)
     455   # Calling gnuplot
     456   print "gnuplot", gp_stacked_name
     457   subprocess.call([ 'gnuplot', gp_stacked_name ])
     458
     459
     460
     461#################################################################################
     462### Graph 6 : Stacked histogram with coherence cost compared to r/w cost      ###
     463#################################################################################
     464
     465# The following section creates pairs of stacked histograms, normalized w.r.t. the first one.
     466# The first one contains the cost of reads and writes, the second contains the cost
     467# of m_inv, m_up and broadcasts (extrapolated)
     468
     469for prot in single_protocols:
     470   data_cost_filename = os.path.join(scripts_path, gen_dir, prot + '_relative_cost.dat')
     471   gp_cost_filename   = os.path.join(scripts_path, gen_dir, prot + '_relative_cost.gp')
     472   
     473   direct_cost_metrics = [ 'read_cost', 'write_cost' ]
     474   coherence_cost_metrics = ['update_cost', 'm_inv_cost', 'broadcast_cost' ]
     475   
     476   # Creating the gp file
     477   template_file = open(stacked_tmpl, 'r')
     478   template = template_file.read()
     479   
     480   xtics_str = "("
     481   first = True
     482   xpos = 1
     483   app_labels = ""
     484   for num_appli in range(0, len(apps)):
     485      first_proc = True
     486      for i in nb_procs:
     487         if i > 4:
     488            if not first:
     489               xtics_str += ", "
     490            first = False
     491            if first_proc:
     492               first_proc = False
     493               xpos_first = xpos
     494            xtics_str += "\"%d\" %f -1" % (i, float(xpos + 0.5))
     495            xpos_last = xpos
     496            xpos += 3
     497      app_name_xpos = float((xpos_first + xpos_last)) / 2
     498      app_labels += "set label \"%s\" at first %f,character 1 center font \"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
     499      #xpos += 1
     500   xtics_str += ")"
     501   
     502   plot_str = "newhistogram \"\""
     503   n = 1
     504   for cost_metric in direct_cost_metrics + coherence_cost_metrics:
     505      plot_str += ", \\\n    " + "'" + data_cost_filename + "'" + " using " + str(n) + " lc rgb " + colors[n] + " title \"" + m_metric_name[cost_metric] + "\""
     506      n += 1
     507   
     508   ylabel_str = "Coherence Cost Compared to Direct Requests Cost,\\nNormalized per Application for each Number of Processors"
     509   content = template % dict(svg_name = os.path.join(graph_dir, prot + '_rel_cost'), xtics_str = xtics_str, plot_str = plot_str, ylabel_str = ylabel_str, app_labels = app_labels, prot_labels = "")
     510   
     511   create_file(gp_cost_filename, content)
     512   
     513   # Creating the data file
     514   # Values are normalized by application, w.r.t. the number of requests for a given number of procs
     515   content = "#"
     516   for cost_metric in direct_cost_metrics:
     517      content += cost_metric
     518      content += ' ' + ' ' * (15 - len(cost_metric))
     519   for cost_metric in coherence_cost_metrics:
     520      content += cost_metric
     521      content += ' ' + ' ' * (15 - len(cost_metric))
     522   content += "\n"
     523   for app in apps:
     524      if app != apps[0]:
     525         for i in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
     526            content += "%-15f" % 0.0
     527         content += "\n"
     528      for i in nb_procs:
     529         if i > 4:
     530            for cost_metric in direct_cost_metrics:
     531               content += "%-15f" % (float(metrics_val[prot][app][i][cost_metric]) / metrics_val[prot][app][i]['direct_cost'])
     532            for cost_metric in coherence_cost_metrics:
     533               content += "%-15f" % 0.0
     534            content += "\n"
     535            for cost_metric in direct_cost_metrics:
     536               content += "%-15f" % 0.0
     537            for cost_metric in coherence_cost_metrics:
     538               content += "%-15f" % (float(metrics_val[prot][app][i][cost_metric]) / metrics_val[prot][app][i]['direct_cost'])
     539            content += "\n"
     540            if i != nb_procs[-1]:
     541               for j in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
     542                  content += "%-15f" % 0.0
     543               content += "\n"
     544   
     545   create_file(data_cost_filename, content)
     546   # Calling gnuplot
     547   print "gnuplot", gp_cost_filename
     548   subprocess.call([ 'gnuplot', gp_cost_filename ])
     549
     550
     551#################################################################################
     552### Joint Graphs to several architectures                                     ###
     553#################################################################################
     554
     555if len(joint_protocols) == 0:
     556   sys.exit()
     557
     558#################################################################################
     559### Graph 7: Comparison of Speedups (normalized w.r.t. 1 proc on first arch)  ###
     560#################################################################################
     561
    186562
    187563for app in apps:
    188564
    189    data_speedup_name   = os.path.join(scripts_path, gen_dir, app + '_speedup.dat')
    190    gp_speedup_name     = os.path.join(scripts_path, gen_dir, app + '_speedup.gp')
     565   data_speedup_name = os.path.join(scripts_path, gen_dir, 'joint_' + app + '_speedup.dat')
     566   gp_speedup_name   = os.path.join(scripts_path, gen_dir, 'joint_' + app + '_speedup.gp')
    191567   
    192568   # Creating data file
    … …  
    199575   for i in nb_procs:
    200576      content += "%-15d " % i
    201       val = exec_time[app][i]
    202       content += "%-15f\n" % (exec_time[app][1] / float(val))
    203 
    204    plot_str = "\"" + data_speedup_name + "\" using ($1):($2) lc rgb \"#654387\" title \"Speedup\" with linespoint"
    205    
     577      for prot in joint_protocols:
     578         val = exec_time[prot][app][i]
     579         content += "%-15f " % (exec_time[joint_protocols[0]][app][1] / float(val))
     580      content += "\n"
     581
    206582   create_file(data_speedup_name, content)
    207583   
    … …  
    209585   template_file = open(speedup_tmpl, 'r')
    210586   template = template_file.read()
    211    
    212    gp_commands = template % dict(appli = m_app_name[app], nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, app + '_speedup'))
     587 
     588   plot_str = ""
     589   col = 2
     590   for prot in joint_protocols:
     591      if prot != joint_protocols[0]:
     592         plot_str += ", \\\n     "
     593      plot_str += "\"" + data_speedup_name + "\" using ($1):($" + str(col) + ") lc rgb %s title \"" % (colors[col - 2])  + m_prot_name[prot] + "\" with linespoint"
     594      col += 1
     595 
     596   gp_commands = template % dict(appli = m_app_name[app] + " Normalized w.r.t. " + m_prot_name[joint_protocols[0]] + " on 1 Processor", nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, 'joint_' + app + '_speedup'))
    213597   
    214598   create_file(gp_speedup_name, gp_commands)
    … …  
    219603
    220604
    221 ############################################################
    222 ### Graph 3 : All speedups on the same Graph             ###
    223 ############################################################
    224 
    225 # This graph uses the same template as the graph 2
    226 
    227 data_speedup_name = os.path.join(scripts_path, gen_dir, 'all_speedup.dat')
    228 gp_speedup_name   = os.path.join(scripts_path, gen_dir, 'all_speedup.gp')
    229 
    230 # Creating data file
    231 width = 15
    232 content = "#nb_procs"
    233 nb_spaces = width - len(content)
    234 content += (nb_spaces + 1) * ' '
    235 for app in apps:
    236    content += app + " "
    237    content += (width - len(app)) * " "
    238 content += "\n"
    239 
    240 for i in nb_procs:
    241    content += "%-15d " % i
    242    for app in apps:
    243       val = exec_time[app][i]
    244       content += "%-15f " % (exec_time[app][1] / float(val))
    245    content += "\n"
    246 
    247 create_file(data_speedup_name, content)
    248 
    249 # Creating gp file
    250 template_file = open(speedup_tmpl, 'r')
    251 template = template_file.read()
    252 
    253 plot_str = ""
    254 col = 2
    255 for app in apps:
    256    if app != apps[0]:
    257       plot_str += ", \\\n     "
    258    plot_str += "\"" + data_speedup_name + "\" using ($1):($" + str(col) + ") lc rgb %s title \"" % (colors[col - 2])  + m_app_name[app] + "\" with linespoint"
    259    col += 1
    260 
    261 gp_commands = template % dict(appli = "All Applications", nb_procs = nb_procs[-1] + 1, plot_str = plot_str, svg_name = os.path.join(graph_dir, 'all_speedup'))
    262    
    263 create_file(gp_speedup_name, gp_commands)
    264    
    265 # Calling gnuplot
    266 print "gnuplot", gp_speedup_name
    267 subprocess.call([ 'gnuplot', gp_speedup_name ])
    268 
    269 
    270 ############################################################
    271 ### Graph 4 : Graph per metric                           ###
    272 ############################################################
    273 
    274 # The following section creates the graphs grouped by measure (e.g. #broadcasts)
    275 # The template file cannot be easily created otherwise it would not be generic
    276 # in many ways. This is why it is mainly created here.
    277 # Graphs are created for metric in the "individual_metrics" list
    278 
    279 for metric in individual_metrics:
    280    data_metric_name = os.path.join(scripts_path, gen_dir, metric + '.dat')
    281    gp_metric_name   = os.path.join(scripts_path, gen_dir, metric + '.gp')
    282 
    283    # Creating the gp file
    284    # Setting xtics, i.e. number of procs for each application
    285    xtics_str = "("
    286    first = True
    287    xpos = 1
    288    app_labels = ""
    289    for num_appli in range(0, len(apps)):
    290       for i in nb_procs:
    291          if not first:
    292             xtics_str += ", "
    293          first = False
    294          if i == nb_procs[0]:
    295             xpos_first = xpos
    296          xtics_str += "\"%d\" %.1f" % (i, xpos)
    297          xpos_last = xpos
    298          xpos += 1.5
    299       xpos += 0.5
    300       app_name_xpos = float((xpos_first + xpos_last)) / 2
    301       app_labels += "set label \"%s\" at first %f,character 1 center font\"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
    302    xtics_str += ")"
    303 
    304    xmax_val = xpos + 0.5
    305 
    306    # Writing the lines of "plot"
    307    plot_str = ""
    308    xpos = 0
    309    first = True
    310    column = 2
    311    for i in range(0, len(nb_procs)):
    312       if not first:
    313          plot_str += ", \\\n    "
    314       first = False
    315       plot_str += "\"%s\" using ($1+%.1f):($%d) lc rgb %s notitle with boxes" % (data_metric_name, xpos, column, colors[i])
    316       column += 1
    317       xpos += 1.5
    318 
    319    template_file = open(metric_tmpl, 'r')
    320    template = template_file.read()
    321 
    322    gp_commands = template % dict(xtics_str = xtics_str, app_labels = app_labels, ylabel_str = m_metric_name[metric], norm_factor_str = m_norm_factor_name[m_metric_norm[metric]], xmax_val = xmax_val, plot_str = plot_str, svg_name = os.path.join(graph_dir, metric))
    323 
    324    create_file(gp_metric_name, gp_commands)
    325    
    326    # Creating the data file
    327    width = 15
    328    content = "#x_pos"
    329    nb_spaces = width - len(content)
    330    content += nb_spaces * ' '
    331    for i in nb_procs:
    332       content += "%-15d" % i
    333    content += "\n"
    334 
    335    x_pos = 1
    336    for app in apps:
    337       # Computation of x_pos
    338       content += "%-15f" % x_pos
    339       x_pos += len(nb_procs) * 1.5 + 0.5
    340       for i in nb_procs:
    341          if m_metric_norm[metric] == "N":
    342             content += "%-15d" % (metrics_val[app][i][metric])
    343          elif m_metric_norm[metric] == "P":
    344             content += "%-15f" % (float(metrics_val[app][i][metric]) / i)
    345          elif m_metric_norm[metric] == "C":
    346             content += "%-15f" % (float(metrics_val[app][i][metric]) / exec_time[app][i] * 1000)
    347          elif m_metric_norm[metric] == "W":
    348             content += "%-15f" % (float(metrics_val[app][i][metric]) / float(metrics_val[app][i]['total_write'])) # Number of writes
    349          elif m_metric_norm[metric] == "R":
    350             content += "%-15f" % (float(metrics_val[app][i][metric]) / float(metrics_val[app][i]['total_read'])) # Number of reads
    351          elif m_metric_norm[metric] == "D":
    352             content += "%-15f" % (float(metrics_val[app][i][metric]) / float(metrics_val[app][i]['total_direct'])) # Number of req.
    353          elif is_numeric(m_metric_norm[metric]):
    354             content += "%-15f" % (float(metrics_val[app][i][metric]) / float(metrics_val[app][int(m_metric_norm[metric])][metric]))
    355          else:
    356             assert(False)
    357 
    358       app_name = m_app_name[app]
    359       content += "#" + app_name + "\n"
    360    
    361    create_file(data_metric_name, content)
    362 
    363    # Calling gnuplot
    364    print "gnuplot", gp_metric_name
    365    subprocess.call([ 'gnuplot', gp_metric_name ])
    366 
    367 
    368 ############################################################
    369 ### Graph 5 : Stacked histogram with counters            ###
    370 ############################################################
    371 
    372 # The following section creates a stacked histogram containing
    373 # the metrics in the "stacked_metric" list
    374 # It is normalized per application w.r.t the values on 256 procs
    375 
    376 data_stacked_name = os.path.join(scripts_path, gen_dir, 'stacked.dat')
    377 gp_stacked_name   = os.path.join(scripts_path, gen_dir, 'stacked.gp')
    378 
    379 norm_factor_value = 256
    380 
     605#################################################################################
     606### Graph 8 : Joint Stacked histogram with coherence cost and r/w cost        ###
     607#################################################################################
     608
     609# The following section creates pairs of stacked histograms for each arch for each number of proc for each app, normalized by (app x number of procs) (with first arch, R/W cost, first of the 2*num_arch histo). It is close to Graph 6
     610
     611data_cost_filename = os.path.join(scripts_path, gen_dir, 'joint_relative_cost.dat')
     612gp_cost_filename   = os.path.join(scripts_path, gen_dir, 'joint_relative_cost.gp')
     613   
     614direct_cost_metrics = [ 'read_cost', 'write_cost' ]
     615coherence_cost_metrics = ['update_cost', 'm_inv_cost', 'broadcast_cost' ]
     616   
    381617# Creating the gp file
    382618template_file = open(stacked_tmpl, 'r')
    383619template = template_file.read()
    384 
     620   
    385621xtics_str = "("
    386622first = True
    387 xpos = 1
     623xpos = 1 # successive x position of the center of the first bar in a application
    388624app_labels = ""
    389 for num_appli in range(0, len(apps)):
    390    for i in nb_procs:
    391       if not first:
    392          xtics_str += ", "
    393       first = False
    394       if i == nb_procs[0]:
    395          xpos_first = xpos
    396       xtics_str += "\"%d\" %d -1" % (i, xpos)
    397       xpos_last = xpos
    398       xpos += 1
    399    xpos += 1
    400    app_name_xpos = float((xpos_first + xpos_last)) / 2
    401    app_labels += "set label \"%s\" at first %f,character 1 center font\"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
    402 xtics_str += ")"
    403 
    404 plot_str = "newhistogram \"\""
    405 n = 1
    406 for stacked_metric in stacked_metrics:
    407    plot_str += ", \\\n    " + "'" + data_stacked_name + "'" + " using " + str(n) + " lc rgb " + colors[n] + " title \"" + m_metric_name[stacked_metric] + "\""
    408    n += 1
    409 
    410 ylabel_str = "Breakdown of Coherence Traffic Normalized w.r.t. \\nthe Values on %d Processors" % norm_factor_value
    411 content = template % dict(svg_name = os.path.join(graph_dir, 'stacked'), xtics_str = xtics_str, plot_str = plot_str, ylabel_str = ylabel_str, app_labels = app_labels)
    412 
    413 create_file(gp_stacked_name, content)
    414 
    415 # Creating the data file
    416 # Values are normalized by application, w.r.t. the number of requests for a given number of procs
    417 content = "#"
    418 for stacked_metric in stacked_metrics:
    419    content += stacked_metric
    420    content += ' ' + ' ' * (15 - len(stacked_metric))
    421 content += "\n"
    422 for app in apps:
    423    if app != apps[0]:
    424       for i in range(0, len(stacked_metrics)):
    425          content += "%-15f" % 0.0
    426       content += "\n"
    427    for i in nb_procs:
    428       for stacked_metric in stacked_metrics:
    429          content += "%-15f" % (float(metrics_val[app][i][stacked_metric]) / metrics_val[app][norm_factor_value]['total_stacked'])
    430       content += "\n"
    431 
    432 create_file(data_stacked_name, content)
    433 # Calling gnuplot
    434 print "gnuplot", gp_stacked_name
    435 subprocess.call([ 'gnuplot', gp_stacked_name ])
    436 
    437 
    438 
    439 #################################################################################
    440 ### Graph 6 : Stacked histogram with coherence cost compared to r/w cost      ###
    441 #################################################################################
    442 
    443 # The following section creates pairs of stacked histograms, normalized w.r.t. the first one.
    444 # The first one contains the cost of reads and writes, the second contains the cost
    445 # of m_inv, m_up and broadcasts (extrapolated)
    446 
    447 data_cost_filename = os.path.join(scripts_path, gen_dir, 'relative_cost.dat')
    448 gp_cost_filename   = os.path.join(scripts_path, gen_dir, 'relative_cost.gp')
    449 
    450 direct_cost_metrics = [ 'read_cost', 'write_cost' ]
    451 coherence_cost_metrics = ['update_cost', 'm_inv_cost', 'broadcast_cost' ]
    452 
    453 # Creating the gp file
    454 template_file = open(stacked_tmpl, 'r')
    455 template = template_file.read()
    456 
    457 xtics_str = "("
    458 first = True
    459 xpos = 1.5
    460 app_labels = ""
     625prot_labels = ""
    461626for num_appli in range(0, len(apps)):
    462627   first_proc = True
    463628   for i in nb_procs:
    464629      if i > 4:
     630         x = 0 # local var for computing position of protocol names
     631         for prot in joint_protocols:
     632            prot_labels += "set label \"%s\" at first %f, character 2 center font \"Times,10\"\n" % (m_prot_name[prot], float((xpos - 0.5)) + x) # -0.5 instead of +0.5, don't know why... (bug gnuplot?)
     633            x += 2
     634
    465635         if not first:
    466636            xtics_str += ", "
    … …  
    469639            first_proc = False
    470640            xpos_first = xpos
    471          xtics_str += "\"%d\" %f -1" % (i, xpos)
     641         xtics_str += "\"%d\" %f -1" % (i, float(xpos - 0.5 + len(joint_protocols)))
    472642         xpos_last = xpos
    473          xpos += 3
     643         xpos += 1 + len(joint_protocols) * 2
    474644   app_name_xpos = float((xpos_first + xpos_last)) / 2
    475    app_labels += "set label \"%s\" at first %f,character 1 center font\"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
     645   app_labels += "set label \"%s\" at first %f,character 1 center font \"Times,12\"\n" % (m_app_name[apps[num_appli]], app_name_xpos)
    476646   xpos += 1
    477647xtics_str += ")"
    … …  
    483653   n += 1
    484654
    485 ylabel_str = "Coherence Cost Compared to Direct Requests Cost,\\nNormalized per Application for each Number of Processors"
    486 content = template % dict(svg_name = os.path.join(graph_dir, 'rel_cost'), xtics_str = xtics_str, plot_str = plot_str, ylabel_str = ylabel_str, app_labels = app_labels)
     655ylabel_str = "Coherence Cost and Direct Requests Cost,\\nNormalized per Application for each Number of Processors"
     656content = template % dict(svg_name = os.path.join(graph_dir, 'joint_rel_cost'), xtics_str = xtics_str, plot_str = plot_str, ylabel_str = ylabel_str, app_labels = app_labels, prot_labels = prot_labels)
    487657
    488658create_file(gp_cost_filename, content)
    … …  
    500670for app in apps:
    501671   if app != apps[0]:
    502       for i in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
     672      for j in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
    503673         content += "%-15f" % 0.0
    504674      content += "\n"
    505675   for i in nb_procs:
    506676      if i > 4:
    507          for cost_metric in direct_cost_metrics:
    508             content += "%-15f" % (float(metrics_val[app][i][cost_metric]) / metrics_val[app][i]['direct_cost'])
    509          for cost_metric in coherence_cost_metrics:
    510             content += "%-15f" % 0.0
    511          content += "\n"
    512          for cost_metric in direct_cost_metrics:
    513             content += "%-15f" % 0.0
    514          for cost_metric in coherence_cost_metrics:
    515             content += "%-15f" % (float(metrics_val[app][i][cost_metric]) / metrics_val[app][i]['direct_cost'])
    516          content += "\n"
    517          for i in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
    518             content += "%-15f" % 0.0
    519          content += "\n"
     677         for prot in joint_protocols:
     678            for cost_metric in direct_cost_metrics:
     679               content += "%-15f" % (float(metrics_val[prot][app][i][cost_metric]) / metrics_val[joint_protocols[0]][app][i]['direct_cost'])
     680            for cost_metric in coherence_cost_metrics:
     681               content += "%-15f" % 0.0
     682            content += "\n"
     683            for cost_metric in direct_cost_metrics:
     684               content += "%-15f" % 0.0
     685            for cost_metric in coherence_cost_metrics:
     686               content += "%-15f" % (float(metrics_val[prot][app][i][cost_metric]) / metrics_val[joint_protocols[0]][app][i]['direct_cost'])
     687            content += "\n"
     688         if i != nb_procs[-1]:
     689            for j in range(0, len(direct_cost_metrics) + len(coherence_cost_metrics)):
     690               content += "%-15f" % 0.0
     691            content += "\n"
    520692
    521693create_file(data_cost_filename, content)
    … …  
    525697
    526698
     699
     700
     701

  • trunk/platforms/tsar_generic_xbar/scripts/run_simus.py

    r752 r779  
    66import shutil
    77
    8 #TODO: recopier les fichiers d'entrees dans le script en fonction de l'appli selectionnee
     8#TODO (?): recopier les fichiers d'entrees dans le script en fonction de l'appli selectionnee
    99# Par exemple, tk14.O pour LU, img.raw pour ep_filter, etc.
    1010
    11 data_dir = 'data'
    12 log_init_name = 'log_init_'
    13 log_term_name = 'log_term_'
    14 
    15 
     11
     12# User parameters
    1613nb_procs = [ 4 ]
    1714#nb_procs = [ 16, 32, 64, 128, 256 ]
    18 rerun_stats = True
     15rerun_stats = False
    1916use_omp = False
     17protocol = 'rwt'
    2018
    2119#apps = [ 'histogram', 'mandel', 'filter', 'radix_ga', 'fft_ga', 'kmeans' ]
    2220#apps = [ 'histogram', 'mandel', 'filter', 'radix_ga', 'fft_ga' ]
    23 
     21apps = [ 'radix' ]
     22
     23
     24# Variables which could be changed but ought not to because they are reflected in the create_graphs.py script
     25data_dir = 'data'
     26log_init_name = protocol + '_stdo_'
     27log_term_name = protocol + '_term_'
     28
     29# Global Variables
    2430
    2531all_apps = [ 'cholesky', 'fft', 'fft_ga', 'filter', 'filt_ga', 'histogram', 'kmeans', 'lu', 'mandel', 'mat_mult', 'pca', 'radix', 'radix_ga', 'showimg', ]
    2632# to come: 'barnes', 'fmm', 'ocean', 'raytrace', 'radiosity', 'waters', 'watern'
    2733
    28 apps = [ 'cholesky' ]
    29 
    30 
     34all_protocols = [ 'dhccp', 'rwt', 'mesi' ]
     35
     36top_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..")
    3137config_name = os.path.join(os.path.dirname(os.path.realpath(__file__)), "config.py")
     38
     39scripts_path       = os.path.join(top_path, 'scripts')
     40almos_path         = os.path.join(top_path, 'almos')
     41soclib_conf_name   = os.path.join(top_path, "soclib.conf")
     42topcell_name       = os.path.join(top_path, "top.cpp")
     43arch_info_name     = os.path.join(almos_path, "arch-info-gen.info")
     44arch_info_bib_name = os.path.join(almos_path, 'arch-info.bib')
     45hdd_img_file_name  = os.path.join(almos_path, "hdd-img.bin")
     46shrc_file_name     = os.path.join(almos_path, "shrc")
     47hard_config_name   = os.path.join(almos_path, "hard_config.h")
     48
     49
     50# Checks
     51if protocol not in all_protocols:
     52    help_str = '''
     53*** Error: variable protocol has an unsupported value
     54'''
     55    print help_str
     56    sys.exit()
     57
     58for the_app in apps:
     59    if the_app not in all_apps:
     60        print "*** Error: application %s is not defined" % (the_app)
     61        sys.exit()
     62
    3263if not os.path.isfile(config_name):
    33    help_str = '''
     64    help_str = '''
    3465You should create a file named config.py in this directory with the following definitions:
    3566 - apps_dir:      path to almos-tsar-mipsel/apps directory
    … …  
    3869*** Stopping execution
    3970'''
    40    print help_str
    41    sys.exit()
    42 
     71    print help_str
     72    sys.exit()
     73
     74# Loading config
    4375exec(file(config_name))
    4476
    45 top_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "..")
    46 
    47 scripts_path       = os.path.join(top_path, 'scripts')
    48 almos_path         = os.path.join(top_path, 'almos')
    49 arch_info_name     = os.path.join(almos_path, "arch-info-gen.info")
    50 arch_info_bib_name = os.path.join(almos_path, 'arch-info.bib')
    51 hdd_img_file_name  = os.path.join(almos_path, "hdd-img.bin")
    52 shrc_file_name     = os.path.join(almos_path, "shrc")
    53 hard_config_name   = os.path.join(almos_path, "hard_config.h")
    54 
    55 topcell_name = "top.cpp"
     77# Check that variables and paths exist
     78for var in [ 'apps_dir', 'almos_src_dir', 'hdd_img_name', 'tsar_dir' ]:
     79    if eval(var) == "":
     80        print "*** Error: variable %s not defined in config file" % (var)
     81        sys.exit()
     82    if not os.path.exists(eval(var)):
     83        print "*** Error: variable %s does not define a valid path" % (var)
     84        sys.exit()
     85
     86if protocol == "rwt":
     87    if rwt_dir == "":
     88        print "*** Error: variable rwt_dir not defined in config file"
     89        sys.exit()
     90    if not os.path.exists(rwt_dir):
     91        print "*** Error: variable rwt_dir does not define a valid path"
     92        sys.exit()
     93
     94if protocol == "mesi":
     95    if mesi_dir == "":
     96        print "*** Error: variable mesi_dir not defined in config file"
     97        sys.exit()
     98    if not os.path.exists(mesi_dir):
     99        print "*** Error: variable mesi_dir does not define a valid path"
     100        sys.exit()
     101
     102
    56103
    57104
    … …  
    65112#splash_app_dir['watern'] = 'apps/water-nsquared'
    66113#splash_app_dir['waters'] = 'apps/water-spatial'
    67 #
    68 #splash_app_dir['cholesky'] = 'kernels/cholesky'
    69 #splash_app_dir['fft'] = 'kernels/fft'
    70 #splash_app_dir['lu'] = 'kernels/lu/contiguous_blocks'
    71 #splash_app_dir['radix'] = 'kernels/radix'
    72 #
    73 #splash_ga_app_dir = {}
    74 #splash_ga_app_dir['radix_ga'] = 'apps/radix'
    75 #splash_ga_app_dir['fft_ga'] = 'apps/fft'
    76114
    77115
    78116def get_x_y(nb_procs):
    79    x = 1
    80    y = 1
    81    to_x = True
    82    while (x * y * 4 < nb_procs):
    83       if to_x:
    84          x = x * 2
    85       else:
    86          y = y * 2
    87       to_x = not to_x
    88    return x, y
    89 
     117    x = 1
     118    y = 1
     119    to_x = True
     120    while (x * y * 4 < nb_procs):
     121        if to_x:
     122            x = x * 2
     123        else:
     124            y = y * 2
     125        to_x = not to_x
     126    return x, y
     127
     128
     129def gen_soclib_conf():
     130
     131    if os.path.isfile(soclib_conf_name):
     132        print "Updating file %s" % (soclib_conf_name)
     133        # First, remove lines containing "addDescPath"
     134        f = open(soclib_conf_name, "r")
     135        lines = f.readlines()
     136        f.close()
     137
     138        f = open(soclib_conf_name, "w")
     139
     140        for line in lines:
     141            if not ("addDescPath" in line):
     142                f.write(line)
     143        f.close()
     144    else:
     145        print "Creating file %s" % (soclib_conf_name)
     146        f = open(soclib_conf_name, "w")
     147        f.close()
     148
     149    # Defining common and specific modules
     150    common_modules = [
     151            'lib/generic_llsc_global_table',
     152            'modules/dspin_router_tsar',
     153            'modules/sdmmc',
     154            'modules/vci_block_device_tsar',
     155            'modules/vci_ethernet_tsar',
     156            'modules/vci_io_bridge',
     157            'modules/vci_iox_network',
     158            'modules/vci_spi'
     159            'platforms/tsar_generic_xbar/tsar_xbar_cluster'
     160    ]
     161
     162    specific_modules = [
     163            'communication',
     164            'lib/generic_cache_tsar',
     165            'modules/vci_cc_vcache_wrapper',
     166            'modules/vci_mem_cache'
     167    ]
     168
     169    f = open(soclib_conf_name, "a")
     170    # Adding common modules
     171    for common_module in common_modules:
     172        f.write("config.addDescPath(\"%s/%s\")\n" % (tsar_dir, common_module))
     173    #f.write("\n")
     174
     175    if protocol == "dhccp":
     176        arch_dir = tsar_dir
     177    elif protocol == "rwt":
     178        arch_dir = rwt_dir
     179    elif protocol == "mesi":
     180        archi_dir = mesi_dir
     181    else:
     182        assert(False)
     183
     184    for specific_module in specific_modules:
     185        f.write("config.addDescPath(\"%s/%s\")\n" % (arch_dir, specific_module))
     186
     187    #f.write("\n")
     188    f.close()
    90189
    91190
    … …  
    97196#define _HD_CONFIG_H
    98197
    99 #define  X_SIZE              %(x)d
    100 #define  Y_SIZE              %(y)d
    101 #define  NB_CLUSTERS         %(nb_clus)d
    102 #define  NB_PROCS_MAX        4
    103 #define  NB_TASKS_MAX        8
    104 
    105 #define  NB_TIM_CHANNELS     32
    106 #define  NB_DMA_CHANNELS     1
    107 
    108 #define  NB_TTY_CHANNELS     4
    109 #define  NB_IOC_CHANNELS     1
    110 #define  NB_NIC_CHANNELS     0
    111 #define  NB_CMA_CHANNELS     0
    112 
    113 #define  USE_XICU            1
    114 #define  IOMMU_ACTIVE        0
     198#define X_SIZE              %(x)d
     199#define Y_SIZE              %(y)d
     200#define NB_CLUSTERS         %(nb_clus)d
     201#define NB_PROCS_MAX        4
     202#define NB_TASKS_MAX        8
     203
     204#define NB_TIM_CHANNELS     32
     205#define NB_DMA_CHANNELS     1
     206
     207#define NB_TTY_CHANNELS     4
     208#define NB_IOC_CHANNELS     1
     209#define NB_NIC_CHANNELS     0
     210#define NB_CMA_CHANNELS     0
     211
     212#define USE_XICU            1
     213#define IOMMU_ACTIVE        0
    115214
    116215#define   IRQ_PER_PROCESSOR   1
    … …  
    194293   #   subprocess.call([ 'make' ])
    195294
    196    #elif app_name in splash2_ga:
    197    #   print "make clean"
    198    #   subprocess.call([ 'make', 'clean' ])
    199 
    200    #   print "make"
    201    #   subprocess.call([ 'make' ])
    202 
    203295   #else:
    204296   #   print "make clean"
    … …  
    212304 
    213305   print "make TARGET=tsar"
    214    subprocess.call([ 'make', 'TARGET=tsar' ])
     306   retval = subprocess.call([ 'make', 'TARGET=tsar' ])
     307   if retval != 0:
     308       sys.exit()
    215309   
    216310   # Creation/Modification du shrc de almos
    … …  
    281375
    282376gen_sym_links()
     377gen_soclib_conf()
    283378
    284379for i in nb_procs:
    … …  
    293388   subprocess.call([ 'touch', topcell_name ])
    294389   print "make"
    295    subprocess.call([ 'make' ])
    296    
     390   retval = subprocess.call([ 'make' ])
     391   if retval != 0:
     392       sys.exit()
     393
    297394   for app in apps:
    298395      print "cd", top_path

  • trunk/platforms/tsar_generic_xbar/scripts/templates/metric_template.gp

    r706 r779  
    1414%(app_labels)s
    1515
    16 set xrange [0:%(xmax_val)d]
     16set xrange [0:%(xmax_val)f]
    1717
    1818#set mytics 0.1

  • trunk/platforms/tsar_generic_xbar/scripts/templates/stacked_template.gp

    r706 r779  
    3333
    3434%(app_labels)s
     35%(prot_labels)s
    3536
    3637plot %(plot_str)s

  • trunk/platforms/tsar_generic_xbar/soclib.conf

    r504 r779  
    11
     2# DescPath modified by a script
     3
     4config.addDescPath("/users/cao/meunier/src/tsar/lib/generic_llsc_global_table")
     5config.addDescPath("/users/cao/meunier/src/tsar/modules/dspin_router_tsar")
     6config.addDescPath("/users/cao/meunier/src/tsar/modules/sdmmc")
     7config.addDescPath("/users/cao/meunier/src/tsar/modules/vci_block_device_tsar")
     8config.addDescPath("/users/cao/meunier/src/tsar/modules/vci_ethernet_tsar")
     9config.addDescPath("/users/cao/meunier/src/tsar/modules/vci_io_bridge")
     10config.addDescPath("/users/cao/meunier/src/tsar/modules/vci_iox_network")
     11config.addDescPath("/users/cao/meunier/src/tsar/modules/vci_spiplatforms/tsar_generic_xbar/tsar_xbar_cluster")
     12config.addDescPath("/users/cao/meunier/src/rwt/communication")
     13config.addDescPath("/users/cao/meunier/src/rwt/lib/generic_cache_tsar")
     14config.addDescPath("/users/cao/meunier/src/rwt/modules/vci_cc_vcache_wrapper")
     15config.addDescPath("/users/cao/meunier/src/rwt/modules/vci_mem_cache")
     16

  • trunk/platforms/tsar_generic_xbar/top.cpp

    r752 r779  
    121121///////////////////////////////////////////////////
    122122
    123 #define USE_OPENMP 0
    124123
    125124#if USE_OPENMP
    … …  
    881880
    882881
     882//#define SC_TRACE
     883#ifdef SC_TRACE
     884   sc_trace_file * tf = sc_create_vcd_trace_file("my_trace_file");
     885
     886   if (X_SIZE > 1){
     887      for (size_t x = 0; x < (X_SIZE-1); x++){
     888         for (size_t y = 0; y < Y_SIZE; y++){
     889            for (size_t k = 0; k < 3; k++){
     890               signal_dspin_h_cmd_inc[x][y][k].trace(tf, "dspin_h_cmd_inc");
     891               signal_dspin_h_cmd_dec[x][y][k].trace(tf, "dspin_h_cmd_dec");
     892            }
     893
     894            for (size_t k = 0; k < 2; k++){
     895               signal_dspin_h_rsp_inc[x][y][k].trace(tf, "dspin_h_rsp_inc");
     896               signal_dspin_h_rsp_dec[x][y][k].trace(tf, "dspin_h_rsp_dec");
     897            }
     898         }
     899      }
     900   }
     901
     902   if (Y_SIZE > 1) {
     903      for (size_t y = 0; y < (Y_SIZE-1); y++){
     904         for (size_t x = 0; x < X_SIZE; x++){
     905            for (size_t k = 0; k < 3; k++){
     906               signal_dspin_v_cmd_inc[x][y][k].trace(tf, "dspin_v_cmd_inc");
     907               signal_dspin_v_cmd_dec[x][y][k].trace(tf, "dspin_v_cmd_dec");
     908            }
     909
     910            for (size_t k = 0; k < 2; k++){
     911               signal_dspin_v_rsp_inc[x][y][k].trace(tf, "dspin_v_rsp_inc");
     912               signal_dspin_v_rsp_dec[x][y][k].trace(tf, "dspin_v_rsp_dec");
     913            }
     914         }
     915      }
     916   }
     917
     918   for (size_t x = 0; x < (X_SIZE); x++){
     919      for (size_t y = 0; y < Y_SIZE; y++){
     920         std::ostringstream signame;
     921         signame << "cluster" << x << "_" << y;
     922         clusters[x][y]->trace(tf, signame.str());
     923      }
     924   }
     925#endif
     926
     927
    883928   ////////////////////////////////////////////////////////
    884929   //   Simulation
    … …  
    898943               signal_dspin_false_cmd_out[x][y][a][k].read  = true;
    899944            }
    900             for (size_t k = 0; k < 2; k++){
    901                signal_dspin_false_rsp_in [x][y][a][k].write = false;
    902                signal_dspin_false_rsp_in [x][y][a][k].read  = true;
    903                signal_dspin_false_rsp_out[x][y][a][k].write = false;
    904                signal_dspin_false_rsp_out[x][y][a][k].read  = true;
    905             }
     945             for (size_t k = 0; k < 2; k++){
     946                signal_dspin_false_rsp_in [x][y][a][k].write = false;
     947                signal_dspin_false_rsp_in [x][y][a][k].read  = true;
     948                signal_dspin_false_rsp_out[x][y][a][k].write = false;
     949                signal_dspin_false_rsp_out[x][y][a][k].read  = true;
     950             }
    906951         }
    907952      }
    … …  
    910955   sc_start(sc_core::sc_time(1, SC_NS));
    911956   signal_resetn = true;
    912 
    913 #define SC_TRACE
    914 #ifdef SC_TRACE
    915    sc_trace_file * tf = sc_create_vcd_trace_file("my_trace_file");
    916 
    917    if (X_SIZE > 1){
    918       for (size_t x = 0; x < (X_SIZE-1); x++){
    919          for (size_t y = 0; y < Y_SIZE; y++){
    920             for (size_t k = 0; k < 3; k++){
    921                signal_dspin_h_cmd_inc[x][y][k].trace(tf, "dspin_h_cmd_inc");
    922                signal_dspin_h_cmd_dec[x][y][k].trace(tf, "dspin_h_cmd_dec");
    923             }
    924 
    925             for (size_t k = 0; k < 2; k++){
    926                signal_dspin_h_rsp_inc[x][y][k].trace(tf, "dspin_h_rsp_inc");
    927                signal_dspin_h_rsp_dec[x][y][k].trace(tf, "dspin_h_rsp_dec");
    928             }
    929          }
    930       }
    931    }
    932 
    933    if (Y_SIZE > 1) {
    934       for (size_t y = 0; y < (Y_SIZE-1); y++){
    935          for (size_t x = 0; x < X_SIZE; x++){
    936             for (size_t k = 0; k < 3; k++){
    937                signal_dspin_v_cmd_inc[x][y][k].trace(tf, "dspin_v_cmd_inc");
    938                signal_dspin_v_cmd_dec[x][y][k].trace(tf, "dspin_v_cmd_dec");
    939             }
    940 
    941             for (size_t k = 0; k < 2; k++){
    942                signal_dspin_v_rsp_inc[x][y][k].trace(tf, "dspin_v_rsp_inc");
    943                signal_dspin_v_rsp_dec[x][y][k].trace(tf, "dspin_v_rsp_dec");
    944             }
    945          }
    946       }
    947    }
    948 
    949    for (size_t x = 0; x < (X_SIZE); x++){
    950       for (size_t y = 0; y < Y_SIZE; y++){
    951          std::ostringstream signame;
    952          signame << "cluster" << x << "_" << y;
    953          clusters[x][y]->trace(tf, signame.str());
    954       }
    955    }
    956 #endif
    957957
    958958   if (debug_ok) {

  • trunk/platforms/tsar_generic_xbar/tsar_xbar_cluster/caba/metadata/tsar_xbar_cluster.sd

    r706 r779  
    33
    44Module('caba:tsar_xbar_cluster',
    5    classname = 'soclib::caba::TsarXbarCluster',
    6    tmpl_parameters = [
    7       parameter.Int('dspin_cmd_width'),
    8       parameter.Int('dspin_rsp_width'),
     5        classname = 'soclib::caba::TsarXbarCluster',
     6        tmpl_parameters = [
     7        parameter.Int('dspin_cmd_width'),
     8        parameter.Int('dspin_rsp_width'),
    99        parameter.Module('vci_param_int', default = 'caba:vci_param',
    10                           cell_size = parameter.Reference('vci_data_width_int')),
     10            cell_size = parameter.Reference('vci_data_width_int')),
    1111        parameter.Module('vci_param_ext', default = 'caba:vci_param',
    12                           cell_size = parameter.Reference('vci_data_width_ext')),
     12            cell_size = parameter.Reference('vci_data_width_ext')),
    1313        ],
    1414
    15    header_files = [ '../source/include/tsar_xbar_cluster.h',
     15        header_files = [ '../source/include/tsar_xbar_cluster.h', ],
     16
     17        implementation_files = [ '../source/src/tsar_xbar_cluster.cpp', ],
     18
     19        uses = [
     20        Uses('caba:base_module'),
     21        Uses('common:mapping_table'),
     22        Uses('common:iss2'),
     23
     24        Uses('caba:vci_cc_vcache_wrapper',
     25                cell_size       = parameter.Reference('vci_data_width_int'),
     26                dspin_in_width  = parameter.Reference('dspin_cmd_width'),
     27                dspin_out_width = parameter.Reference('dspin_rsp_width'),
     28                iss_t           = 'common:gdb_iss',
     29                gdb_iss_t       = 'common:mips32el'),
     30
     31        Uses('caba:vci_mem_cache',
     32                memc_cell_size_int = parameter.Reference('vci_data_width_int'),
     33                memc_cell_size_ext = parameter.Reference('vci_data_width_ext'),
     34                dspin_in_width  = parameter.Reference('dspin_rsp_width'),
     35                dspin_out_width = parameter.Reference('dspin_cmd_width')),
     36
     37        Uses('caba:vci_simple_rom',
     38                cell_size       = parameter.Reference('vci_data_width_int')),
     39
     40        Uses('caba:vci_simple_ram',
     41                cell_size       = parameter.Reference('vci_data_width_ext')),
     42
     43        Uses('caba:vci_simple_ram',
     44                cell_size       = parameter.Reference('vci_data_width_int')),
     45
     46        Uses('caba:vci_xicu',
     47                cell_size       = parameter.Reference('vci_data_width_int')),
     48
     49        Uses('caba:vci_local_crossbar',
     50                cell_size       = parameter.Reference('vci_data_width_int')),
     51
     52        Uses('caba:dspin_local_crossbar',
     53                flit_width      = parameter.Reference('dspin_cmd_width')),
     54
     55        Uses('caba:dspin_local_crossbar',
     56                flit_width      = parameter.Reference('dspin_rsp_width')),
     57
     58        Uses('caba:virtual_dspin_router',
     59                flit_width      = parameter.Reference('dspin_cmd_width')),
     60
     61        Uses('caba:virtual_dspin_router',
     62                flit_width      = parameter.Reference('dspin_rsp_width')),
     63
     64        Uses('caba:vci_multi_tty',
     65                cell_size       = parameter.Reference('vci_data_width_int')),
     66
     67        Uses('caba:vci_framebuffer',
     68                cell_size       = parameter.Reference('vci_data_width_int')),
     69
     70        Uses('caba:vci_multi_nic',
     71                cell_size       = parameter.Reference('vci_data_width_int')),
     72
     73        Uses('caba:vci_chbuf_dma',
     74                cell_size       = parameter.Reference('vci_data_width_int')),
     75
     76        Uses('caba:vci_block_device_tsar',
     77                cell_size       = parameter.Reference('vci_data_width_int')),
     78
     79        Uses('caba:vci_multi_dma',
     80                cell_size       = parameter.Reference('vci_data_width_int')),
     81
     82        Uses('caba:vci_dspin_target_wrapper',
     83                cell_size       = parameter.Reference('vci_data_width_int')),
     84
     85        Uses('caba:vci_dspin_initiator_wrapper',
     86                cell_size       = parameter.Reference('vci_data_width_int')),
     87
     88        Uses('caba:vci_simhelper',
     89                cell_size       = parameter.Reference('vci_data_width_int')),
     90
     91        Uses('common:elf_file_loader'),
    1692        ],
    1793
    18    implementation_files = [ '../source/src/tsar_xbar_cluster.cpp',
     94        ports = [
     95        Port('caba:bit_in', 'p_resetn', auto = 'resetn'),
     96        Port('caba:clock_in', 'p_clk', auto = 'clock'),
     97        Port('caba:dspin_output', 'p_cmd_out', [4, 3],
     98                dspin_data_size = parameter.Reference('dspin_cmd_width')),
     99        Port('caba:dspin_input', 'p_cmd_in', [4, 3],
     100                dspin_data_size = parameter.Reference('dspin_cmd_width')),
     101        Port('caba:dspin_output', 'p_rsp_out', [4, 2],
     102                dspin_data_size = parameter.Reference('dspin_rsp_width')),
     103        Port('caba:dspin_input', 'p_rsp_in', [4, 2],
     104                dspin_data_size = parameter.Reference('dspin_rsp_width')),
    19105        ],
    20 
    21    uses = [
    22       Uses('caba:base_module'),
    23       Uses('common:mapping_table'),
    24       Uses('common:iss2'),
    25              
    26       Uses('caba:vci_cc_vcache_wrapper',
    27               cell_size       = parameter.Reference('vci_data_width_int'),
    28               dspin_in_width  = parameter.Reference('dspin_cmd_width'),
    29               dspin_out_width = parameter.Reference('dspin_rsp_width'),
    30               iss_t           = 'common:gdb_iss',
    31               gdb_iss_t       = 'common:mips32el'),
    32 
    33       Uses('caba:vci_mem_cache',
    34               memc_cell_size_int = parameter.Reference('vci_data_width_int'),
    35               memc_cell_size_ext = parameter.Reference('vci_data_width_ext'),
    36               dspin_in_width  = parameter.Reference('dspin_rsp_width'),
    37               dspin_out_width = parameter.Reference('dspin_cmd_width')),
    38 
    39       Uses('caba:vci_simple_rom',
    40               cell_size       = parameter.Reference('vci_data_width_int')),
    41 
    42       Uses('caba:vci_simple_ram',
    43               cell_size       = parameter.Reference('vci_data_width_ext')),
    44 
    45       Uses('caba:vci_simple_ram',
    46               cell_size       = parameter.Reference('vci_data_width_int')),
    47 
    48       Uses('caba:vci_xicu',
    49               cell_size       = parameter.Reference('vci_data_width_int')),
    50 
    51       Uses('caba:vci_local_crossbar',
    52               cell_size       = parameter.Reference('vci_data_width_int')),
    53 
    54       Uses('caba:dspin_local_crossbar',
    55               flit_width      = parameter.Reference('dspin_cmd_width')),
    56 
    57       Uses('caba:dspin_local_crossbar',
    58               flit_width      = parameter.Reference('dspin_rsp_width')),
    59 
    60       Uses('caba:virtual_dspin_router',
    61               flit_width      = parameter.Reference('dspin_cmd_width')),
    62 
    63       Uses('caba:virtual_dspin_router',
    64               flit_width      = parameter.Reference('dspin_rsp_width')),
    65 
    66       Uses('caba:vci_multi_tty',
    67               cell_size       = parameter.Reference('vci_data_width_int')),
    68 
    69       Uses('caba:vci_framebuffer',
    70               cell_size       = parameter.Reference('vci_data_width_int')),
    71 
    72       Uses('caba:vci_multi_nic',
    73               cell_size       = parameter.Reference('vci_data_width_int')),
    74 
    75       Uses('caba:vci_chbuf_dma',
    76               cell_size       = parameter.Reference('vci_data_width_int')),
    77 
    78       Uses('caba:vci_block_device_tsar',
    79               cell_size       = parameter.Reference('vci_data_width_int')),
    80 
    81       Uses('caba:vci_multi_dma',
    82               cell_size       = parameter.Reference('vci_data_width_int')),
    83 
    84       Uses('caba:vci_dspin_target_wrapper',
    85               cell_size       = parameter.Reference('vci_data_width_int')),
    86 
    87       Uses('caba:vci_dspin_initiator_wrapper',
    88               cell_size       = parameter.Reference('vci_data_width_int')),
    89 
    90       Uses('caba:vci_simhelper',
    91               cell_size       = parameter.Reference('vci_data_width_int')),
    92 
    93       Uses('common:elf_file_loader'),
    94       ],
    95 
    96    ports = [
    97       Port('caba:bit_in', 'p_resetn', auto = 'resetn'),
    98       Port('caba:clock_in', 'p_clk', auto = 'clock'),
    99       Port('caba:dspin_output', 'p_cmd_out', [4, 3],
    100               dspin_data_size = parameter.Reference('dspin_cmd_width')),
    101       Port('caba:dspin_input', 'p_cmd_in', [4, 3],
    102               dspin_data_size = parameter.Reference('dspin_cmd_width')),
    103       Port('caba:dspin_output', 'p_rsp_out', [4, 2],
    104               dspin_data_size = parameter.Reference('dspin_rsp_width')),
    105       Port('caba:dspin_input', 'p_rsp_in', [4, 2],
    106               dspin_data_size = parameter.Reference('dspin_rsp_width')),
    107       ],
    108 )
     106        )
    109107
    110108
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