# Copyright (c) 2006-2007 The Regents of The University of Michigan # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer; # redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution; # neither the name of the copyright holders nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # Simple test script # # "m5 test.py" import os import argparse import sys import m5 from m5.objects import * # -------------------- # Define Command Line Options # ==================== parser = argparse.ArgumentParser() parser.add_argument("-d", "--detailed", action="store_true") parser.add_argument("-t", "--timing", action="store_true") parser.add_argument("-m", "--maxtick", type=int) parser.add_argument("-c", "--numclusters", help="Number of clusters", type=int) parser.add_argument( "-n", "--numcpus", help="Number of cpus in total", type=int ) parser.add_argument( "-f", "--frequency", default="1GHz", help="Frequency of each CPU" ) parser.add_argument("--l1size", default="32kB") parser.add_argument("--l1latency", default=1) parser.add_argument("--l2size", default="256kB") parser.add_argument("--l2latency", default=10) parser.add_argument( "--rootdir", help="ROot directory of Splash2", default="/dist/splash2/codes/", ) parser.add_argument("-b", "--benchmark", help="Splash 2 benchmark to run") args = parser.parse_args() # -------------------- # Define Splash2 Benchmarks # ==================== class Cholesky(Process): executable = args.rootdir + "/kernels/cholesky/CHOLESKY" cmd = ( "CHOLESKY -p" + str(args.numcpus) + " " + args.rootdir + "/kernels/cholesky/inputs/tk23.O" ) class FFT(Process): executable = args.rootdir + "kernels/fft/FFT" cmd = "FFT -p" + str(args.numcpus) + " -m18" class LU_contig(Process): executable = args.rootdir + "kernels/lu/contiguous_blocks/LU" cmd = "LU -p" + str(args.numcpus) class LU_noncontig(Process): executable = args.rootdir + "kernels/lu/non_contiguous_blocks/LU" cmd = "LU -p" + str(args.numcpus) class Radix(Process): executable = args.rootdir + "kernels/radix/RADIX" cmd = "RADIX -n524288 -p" + str(args.numcpus) class Barnes(Process): executable = args.rootdir + "apps/barnes/BARNES" cmd = "BARNES" input = args.rootdir + "apps/barnes/input.p" + str(args.numcpus) class FMM(Process): executable = args.rootdir + "apps/fmm/FMM" cmd = "FMM" input = args.rootdir + "apps/fmm/inputs/input.2048.p" + str(args.numcpus) class Ocean_contig(Process): executable = args.rootdir + "apps/ocean/contiguous_partitions/OCEAN" cmd = "OCEAN -p" + str(args.numcpus) class Ocean_noncontig(Process): executable = args.rootdir + "apps/ocean/non_contiguous_partitions/OCEAN" cmd = "OCEAN -p" + str(args.numcpus) class Raytrace(Process): executable = args.rootdir + "apps/raytrace/RAYTRACE" cmd = ( "RAYTRACE -p" + str(args.numcpus) + " " + args.rootdir + "apps/raytrace/inputs/teapot.env" ) class Water_nsquared(Process): executable = args.rootdir + "apps/water-nsquared/WATER-NSQUARED" cmd = "WATER-NSQUARED" input = args.rootdir + "apps/water-nsquared/input.p" + str(args.numcpus) class Water_spatial(Process): executable = args.rootdir + "apps/water-spatial/WATER-SPATIAL" cmd = "WATER-SPATIAL" input = args.rootdir + "apps/water-spatial/input.p" + str(args.numcpus) # -------------------- # Base L1 Cache Definition # ==================== class L1(Cache): latency = args.l1latency mshrs = 12 tgts_per_mshr = 8 # ---------------------- # Base L2 Cache Definition # ---------------------- class L2(Cache): latency = args.l2latency mshrs = 92 tgts_per_mshr = 16 write_buffers = 8 # ---------------------- # Define the clusters with their cpus # ---------------------- class Cluster: pass cpusPerCluster = args.numcpus / args.numclusters busFrequency = Frequency(args.frequency) busFrequency *= cpusPerCluster all_cpus = [] all_l1s = [] all_l1buses = [] if args.timing: clusters = [Cluster() for i in range(args.numclusters)] for j in range(args.numclusters): clusters[j].id = j for cluster in clusters: cluster.clusterbus = L2XBar(clock=busFrequency) all_l1buses += [cluster.clusterbus] cluster.cpus = [ TimingSimpleCPU(cpu_id=i + cluster.id, clock=args.frequency) for i in range(cpusPerCluster) ] all_cpus += cluster.cpus cluster.l1 = L1(size=args.l1size, assoc=4) all_l1s += [cluster.l1] elif args.detailed: clusters = [Cluster() for i in range(args.numclusters)] for j in range(args.numclusters): clusters[j].id = j for cluster in clusters: cluster.clusterbus = L2XBar(clock=busFrequency) all_l1buses += [cluster.clusterbus] cluster.cpus = [ DerivO3CPU(cpu_id=i + cluster.id, clock=args.frequency) for i in range(cpusPerCluster) ] all_cpus += cluster.cpus cluster.l1 = L1(size=args.l1size, assoc=4) all_l1s += [cluster.l1] else: clusters = [Cluster() for i in range(args.numclusters)] for j in range(args.numclusters): clusters[j].id = j for cluster in clusters: cluster.clusterbus = L2XBar(clock=busFrequency) all_l1buses += [cluster.clusterbus] cluster.cpus = [ AtomicSimpleCPU(cpu_id=i + cluster.id, clock=args.frequency) for i in range(cpusPerCluster) ] all_cpus += cluster.cpus cluster.l1 = L1(size=args.l1size, assoc=4) all_l1s += [cluster.l1] # ---------------------- # Create a system, and add system wide objects # ---------------------- system = System( cpu=all_cpus, l1_=all_l1s, l1bus_=all_l1buses, physmem=SimpleMemory(), membus=SystemXBar(clock=busFrequency), ) system.clock = "1GHz" system.toL2bus = L2XBar(clock=busFrequency) system.l2 = L2(size=args.l2size, assoc=8) # ---------------------- # Connect the L2 cache and memory together # ---------------------- system.physmem.port = system.membus.mem_side_ports system.l2.cpu_side = system.toL2bus.cpu_side_ports system.l2.mem_side = system.membus.mem_side_ports # ---------------------- # Connect the L2 cache and clusters together # ---------------------- for cluster in clusters: cluster.l1.cpu_side = cluster.clusterbus.mem_side_ports cluster.l1.mem_side = system.toL2bus.cpu_side_ports for cpu in cluster.cpus: cpu.icache_port = cluster.clusterbus.cpu_side_ports cpu.dcache_port = cluster.clusterbus.cpu_side_ports # ---------------------- # Define the root # ---------------------- root = Root(full_system=False, system=system) # -------------------- # Pick the correct Splash2 Benchmarks # ==================== if args.benchmark == "Cholesky": root.workload = Cholesky() elif args.benchmark == "FFT": root.workload = FFT() elif args.benchmark == "LUContig": root.workload = LU_contig() elif args.benchmark == "LUNoncontig": root.workload = LU_noncontig() elif args.benchmark == "Radix": root.workload = Radix() elif args.benchmark == "Barnes": root.workload = Barnes() elif args.benchmark == "FMM": root.workload = FMM() elif args.benchmark == "OceanContig": root.workload = Ocean_contig() elif args.benchmark == "OceanNoncontig": root.workload = Ocean_noncontig() elif args.benchmark == "Raytrace": root.workload = Raytrace() elif args.benchmark == "WaterNSquared": root.workload = Water_nsquared() elif args.benchmark == "WaterSpatial": root.workload = Water_spatial() else: m5.util.panic( """ The --benchmark environment variable was set to something improper. Use Cholesky, FFT, LUContig, LUNoncontig, Radix, Barnes, FMM, OceanContig, OceanNoncontig, Raytrace, WaterNSquared, or WaterSpatial """ ) # -------------------- # Assign the workload to the cpus # ==================== for cluster in clusters: for cpu in cluster.cpus: cpu.workload = root.workload system.workload = SEWorkload.init_compatible(root.workload.executable) # ---------------------- # Run the simulation # ---------------------- if args.timing or args.detailed: root.system.mem_mode = "timing" # instantiate configuration m5.instantiate() # simulate until program terminates if args.maxtick: exit_event = m5.simulate(args.maxtick) else: exit_event = m5.simulate(m5.MaxTick) print("Exiting @ tick", m5.curTick(), "because", exit_event.getCause())