#!/usr/bin/env python from mapping import * ################################################################################### # file : classif.py # date : november 2014 # author : Alain Greiner ################################################################################### # This file describes the mapping of the multi-threaded "classif" # application on a multi-clusters, multi-processors architecture. # The mapping of threads on processors is the following: # - the "main" on cluster[0][0] # - one "load" thread per cluster containing processors, # - one "store" thread per cluster containing processors, # - (nprocs-2) "analyse" thread per cluster containing processors. # The mapping of virtual segments is the following: # - There is one shared data vseg in cluster[0][0] # - The code vsegs are replicated on all clusters containing processors. # - There is one heap vseg per cluster containing processors. # - The stacks vsegs are distibuted on all clusters containing processors. # This mapping uses 5 platform parameters, (obtained from the "mapping" argument) # - x_size : number of clusters in a row # - y_size : number of clusters in a column # - x_width : number of bits for x field # - y_width : number of bits for y field # - nprocs : number of processors per cluster # # WARNING: The target architecture cannot contain less # than 3 processors per cluster. ################################################################################## ###################### def extend( mapping ): x_size = mapping.x_size y_size = mapping.y_size nprocs = mapping.nprocs x_width = mapping.x_width y_width = mapping.y_width assert (nprocs >= 3) and (nprocs <= 8) # define vsegs base & size code_base = 0x10000000 code_size = 0x00010000 # 64 Kbytes (per cluster) data_base = 0x20000000 data_size = 0x00010000 # 64 Kbytes (non replicated) heap_base = 0x30000000 heap_size = 0x00200000 # 2M bytes (per cluster) stack_base = 0x40000000 stack_size = 0x00010000 # 64 Kbytes (per thread) # create vspace vspace = mapping.addVspace( name = 'classif', startname = 'classif_data', active = False ) # data vseg : shared / cluster[0][0] mapping.addVseg( vspace, 'classif_data', data_base , data_size, 'C_WU', vtype = 'ELF', x = 0, y = 0, pseg = 'RAM', binpath = 'bin/classif/appli.elf', local = False ) # heap vsegs : shared (one per cluster) for x in xrange (x_size): for y in xrange (y_size): cluster_id = (x * y_size) + y if ( mapping.clusters[cluster_id].procs ): size = heap_size base = heap_base + (cluster_id * size) mapping.addVseg( vspace, 'classif_heap_%d_%d' %(x,y), base , size, 'C_WU', vtype = 'HEAP', x = x, y = y, pseg = 'RAM', local = False, big = True ) # code vsegs : local (one copy per cluster) for x in xrange (x_size): for y in xrange (y_size): cluster_id = (x * y_size) + y if ( mapping.clusters[cluster_id].procs ): mapping.addVseg( vspace, 'classif_code_%d_%d' %(x,y), code_base , code_size, 'CXWU', vtype = 'ELF', x = x, y = y, pseg = 'RAM', binpath = 'bin/classif/appli.elf', local = True ) # stacks vsegs: local (one stack per processor => nprocs stacks per cluster) # ... plus main_stack in cluster[0][0] mapping.addVseg( vspace, 'main_stack', stack_base, stack_size, 'C_WU', vtype = 'BUFFER', x = 0 , y = 0 , pseg = 'RAM', local = True ) for x in xrange (x_size): for y in xrange (y_size): cluster_id = (x * y_size) + y if ( mapping.clusters[cluster_id].procs ): for p in xrange( nprocs ): proc_id = (((x * y_size) + y) * nprocs) + p base = stack_base + (proc_id * stack_size) + stack_size mapping.addVseg( vspace, 'classif_stack_%d_%d_%d' % (x,y,p), base, stack_size, 'C_WU', vtype = 'BUFFER', x = x , y = y , pseg = 'RAM', local = True ) # distributed threads / one thread per processor # ... plus main on P[0][0][0] mapping.addThread( vspace, 'main', True, 0, 0, 1, 'main_stack', 'classif_heap_0_0', 0 ) # index in start_vector for x in xrange (x_size): for y in xrange (y_size): cluster_id = (x * y_size) + y if ( mapping.clusters[cluster_id].procs ): for p in xrange( nprocs ): if ( p== 0 ): # thread load start_index = 3 thread_name = 'load_%d_%d_%d' %(x,y,p) elif ( p== 1 ): # thread store start_index = 2 thread_name = 'store_%d_%d_%d' %(x,y,p) else : # thread analyse start_index = 1 thread_name = 'analyse_%d_%d_%d' % (x,y,p) mapping.addThread( vspace, thread_name, False , x, y, p, 'classif_stack_%d_%d_%d' % (x,y,p), 'classif_heap_%d_%d' % (x,y), start_index ) # index in start_vector # extend mapping name mapping.name += '_classif' return vspace # useful for test ################################ test ############################################ if __name__ == '__main__': vspace = extend( Mapping( 'test', 2, 2, 4 ) ) print vspace.xml() # Local Variables: # tab-width: 4; # c-basic-offset: 4; # c-file-offsets:((innamespace . 0)(inline-open . 0)); # indent-tabs-mode: nil; # End: # # vim: filetype=python:expandtab:shiftwidth=4:tabstop=4:softtabstop=4