gem5/configs/splash2/cluster.py
Andreas Hansson b00949d88b MEM: Enable multiple distributed generalized memories
This patch removes the assumption on having on single instance of
PhysicalMemory, and enables a distributed memory where the individual
memories in the system are each responsible for a single contiguous
address range.

All memories inherit from an AbstractMemory that encompasses the basic
behaviuor of a random access memory, and provides untimed access
methods. What was previously called PhysicalMemory is now
SimpleMemory, and a subclass of AbstractMemory. All future types of
memory controllers should inherit from AbstractMemory.

To enable e.g. the atomic CPU and RubyPort to access the now
distributed memory, the system has a wrapper class, called
PhysicalMemory that is aware of all the memories in the system and
their associated address ranges. This class thus acts as an
infinitely-fast bus and performs address decoding for these "shortcut"
accesses. Each memory can specify that it should not be part of the
global address map (used e.g. by the functional memories by some
testers). Moreover, each memory can be configured to be reported to
the OS configuration table, useful for populating ATAG structures, and
any potential ACPI tables.

Checkpointing support currently assumes that all memories have the
same size and organisation when creating and resuming from the
checkpoint. A future patch will enable a more flexible
re-organisation.

--HG--
rename : src/mem/PhysicalMemory.py => src/mem/AbstractMemory.py
rename : src/mem/PhysicalMemory.py => src/mem/SimpleMemory.py
rename : src/mem/physical.cc => src/mem/abstract_mem.cc
rename : src/mem/physical.hh => src/mem/abstract_mem.hh
rename : src/mem/physical.cc => src/mem/simple_mem.cc
rename : src/mem/physical.hh => src/mem/simple_mem.hh
2012-04-06 13:46:31 -04:00

303 lines
10 KiB
Python

# 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.
#
# Authors: Ron Dreslinski
# Simple test script
#
# "m5 test.py"
import os
import optparse
import sys
import m5
from m5.objects import *
m5.util.addToPath('../common')
# --------------------
# Define Command Line Options
# ====================
parser = optparse.OptionParser()
parser.add_option("-d", "--detailed", action="store_true")
parser.add_option("-t", "--timing", action="store_true")
parser.add_option("-m", "--maxtick", type="int")
parser.add_option("-c", "--numclusters",
help="Number of clusters", type="int")
parser.add_option("-n", "--numcpus",
help="Number of cpus in total", type="int")
parser.add_option("-f", "--frequency",
default = "1GHz",
help="Frequency of each CPU")
parser.add_option("--l1size",
default = "32kB")
parser.add_option("--l1latency",
default = 1)
parser.add_option("--l2size",
default = "256kB")
parser.add_option("--l2latency",
default = 10)
parser.add_option("--rootdir",
help="ROot directory of Splash2",
default="/dist/splash2/codes/")
parser.add_option("-b", "--benchmark",
help="Splash 2 benchmark to run")
(options, args) = parser.parse_args()
if args:
print "Error: script doesn't take any positional arguments"
sys.exit(1)
# --------------------
# Define Splash2 Benchmarks
# ====================
class Cholesky(LiveProcess):
executable = options.rootdir + '/kernels/cholesky/CHOLESKY'
cmd = 'CHOLESKY -p' + str(options.numcpus) + ' '\
+ options.rootdir + '/kernels/cholesky/inputs/tk23.O'
class FFT(LiveProcess):
executable = options.rootdir + 'kernels/fft/FFT'
cmd = 'FFT -p' + str(options.numcpus) + ' -m18'
class LU_contig(LiveProcess):
executable = options.rootdir + 'kernels/lu/contiguous_blocks/LU'
cmd = 'LU -p' + str(options.numcpus)
class LU_noncontig(LiveProcess):
executable = options.rootdir + 'kernels/lu/non_contiguous_blocks/LU'
cmd = 'LU -p' + str(options.numcpus)
class Radix(LiveProcess):
executable = options.rootdir + 'kernels/radix/RADIX'
cmd = 'RADIX -n524288 -p' + str(options.numcpus)
class Barnes(LiveProcess):
executable = options.rootdir + 'apps/barnes/BARNES'
cmd = 'BARNES'
input = options.rootdir + 'apps/barnes/input.p' + str(options.numcpus)
class FMM(LiveProcess):
executable = options.rootdir + 'apps/fmm/FMM'
cmd = 'FMM'
input = options.rootdir + 'apps/fmm/inputs/input.2048.p' + str(options.numcpus)
class Ocean_contig(LiveProcess):
executable = options.rootdir + 'apps/ocean/contiguous_partitions/OCEAN'
cmd = 'OCEAN -p' + str(options.numcpus)
class Ocean_noncontig(LiveProcess):
executable = options.rootdir + 'apps/ocean/non_contiguous_partitions/OCEAN'
cmd = 'OCEAN -p' + str(options.numcpus)
class Raytrace(LiveProcess):
executable = options.rootdir + 'apps/raytrace/RAYTRACE'
cmd = 'RAYTRACE -p' + str(options.numcpus) + ' ' \
+ options.rootdir + 'apps/raytrace/inputs/teapot.env'
class Water_nsquared(LiveProcess):
executable = options.rootdir + 'apps/water-nsquared/WATER-NSQUARED'
cmd = 'WATER-NSQUARED'
input = options.rootdir + 'apps/water-nsquared/input.p' + str(options.numcpus)
class Water_spatial(LiveProcess):
executable = options.rootdir + 'apps/water-spatial/WATER-SPATIAL'
cmd = 'WATER-SPATIAL'
input = options.rootdir + 'apps/water-spatial/input.p' + str(options.numcpus)
# --------------------
# Base L1 Cache Definition
# ====================
class L1(BaseCache):
latency = options.l1latency
block_size = 64
mshrs = 12
tgts_per_mshr = 8
# ----------------------
# Base L2 Cache Definition
# ----------------------
class L2(BaseCache):
block_size = 64
latency = options.l2latency
mshrs = 92
tgts_per_mshr = 16
write_buffers = 8
# ----------------------
# Define the clusters with their cpus
# ----------------------
class Cluster:
pass
cpusPerCluster = options.numcpus/options.numclusters
busFrequency = Frequency(options.frequency)
busFrequency *= cpusPerCluster
all_cpus = []
all_l1s = []
all_l1buses = []
if options.timing:
clusters = [ Cluster() for i in xrange(options.numclusters)]
for j in xrange(options.numclusters):
clusters[j].id = j
for cluster in clusters:
cluster.clusterbus = Bus(clock=busFrequency)
all_l1buses += [cluster.clusterbus]
cluster.cpus = [TimingSimpleCPU(cpu_id = i + cluster.id,
clock=options.frequency)
for i in xrange(cpusPerCluster)]
all_cpus += cluster.cpus
cluster.l1 = L1(size=options.l1size, assoc = 4)
all_l1s += [cluster.l1]
elif options.detailed:
clusters = [ Cluster() for i in xrange(options.numclusters)]
for j in xrange(options.numclusters):
clusters[j].id = j
for cluster in clusters:
cluster.clusterbus = Bus(clock=busFrequency)
all_l1buses += [cluster.clusterbus]
cluster.cpus = [DerivO3CPU(cpu_id = i + cluster.id,
clock=options.frequency)
for i in xrange(cpusPerCluster)]
all_cpus += cluster.cpus
cluster.l1 = L1(size=options.l1size, assoc = 4)
all_l1s += [cluster.l1]
else:
clusters = [ Cluster() for i in xrange(options.numclusters)]
for j in xrange(options.numclusters):
clusters[j].id = j
for cluster in clusters:
cluster.clusterbus = Bus(clock=busFrequency)
all_l1buses += [cluster.clusterbus]
cluster.cpus = [AtomicSimpleCPU(cpu_id = i + cluster.id,
clock=options.frequency)
for i in xrange(cpusPerCluster)]
all_cpus += cluster.cpus
cluster.l1 = L1(size=options.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 = Bus(clock = busFrequency))
system.toL2bus = Bus(clock = busFrequency)
system.l2 = L2(size = options.l2size, assoc = 8)
# ----------------------
# Connect the L2 cache and memory together
# ----------------------
system.physmem.port = system.membus.master
system.l2.cpu_side = system.toL2bus.slave
system.l2.mem_side = system.membus.master
# ----------------------
# Connect the L2 cache and clusters together
# ----------------------
for cluster in clusters:
cluster.l1.cpu_side = cluster.clusterbus.master
cluster.l1.mem_side = system.toL2bus.slave
for cpu in cluster.cpus:
cpu.icache_port = cluster.clusterbus.slave
cpu.dcache_port = cluster.clusterbus.slave
# ----------------------
# Define the root
# ----------------------
root = Root(full_system = False, system = system)
# --------------------
# Pick the correct Splash2 Benchmarks
# ====================
if options.benchmark == 'Cholesky':
root.workload = Cholesky()
elif options.benchmark == 'FFT':
root.workload = FFT()
elif options.benchmark == 'LUContig':
root.workload = LU_contig()
elif options.benchmark == 'LUNoncontig':
root.workload = LU_noncontig()
elif options.benchmark == 'Radix':
root.workload = Radix()
elif options.benchmark == 'Barnes':
root.workload = Barnes()
elif options.benchmark == 'FMM':
root.workload = FMM()
elif options.benchmark == 'OceanContig':
root.workload = Ocean_contig()
elif options.benchmark == 'OceanNoncontig':
root.workload = Ocean_noncontig()
elif options.benchmark == 'Raytrace':
root.workload = Raytrace()
elif options.benchmark == 'WaterNSquared':
root.workload = Water_nsquared()
elif options.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
# ----------------------
# Run the simulation
# ----------------------
if options.timing or options.detailed:
root.system.mem_mode = 'timing'
# instantiate configuration
m5.instantiate()
# simulate until program terminates
if options.maxtick:
exit_event = m5.simulate(options.maxtick)
else:
exit_event = m5.simulate(m5.MaxTick)
print 'Exiting @ tick', m5.curTick(), 'because', exit_event.getCause()