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# 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())