src/parsec/configs/run_parsec.py - public/gem5-resources - Git at Google

 # -*- coding: utf-8 -*-
 # Copyright (c) 2019 The Regents of the University of California.
 # 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.
 #

 """ Script to run PARSEC benchmarks with gem5.
     The script expects kernel, diskimage, cpu (kvm or timing),
     benchmark, benchmark size, and number of cpu cores as arguments.
     This script is best used if your disk-image has workloads tha have
     ROI annotations compliant with m5 utility. You can use the script in
     ../disk-images/parsec/ with the parsec-benchmark repo at
     https://github.com/darchr/parsec-benchmark.git to create a working
     disk-image for this script.
 """
 import errno
 import os
 import sys
 import time
 import m5
 import m5.ticks
 from m5.objects import *

 sys.path.append('gem5/configs/common/') # For the next line...
 import SimpleOpts

 from system import *

 def writeBenchScript(dir, bench, size):
     """
     This method creates a script in dir which will be eventually
     passed to the simulated system (to run a specific benchmark
     at bootup).
     """
     file_name = '{}/run_{}'.format(dir, bench)
     bench_file = open(file_name, 'w+')
     bench_file.write('cd /home/gem5/parsec-benchmark\n')
     bench_file.write('source env.sh\n')
     bench_file.write('parsecmgmt -a run -p \
             {} -c gcc-hooks -i {}\n'.format(bench, size))

     # sleeping for sometime makes sure
     # that the benchmark's output has been
     # printed to the console
     bench_file.write('sleep 5 \n')
     bench_file.write('m5 exit \n')
     bench_file.close()
     return file_name

 if __name__ == "__m5_main__":
     (opts, args) = SimpleOpts.parse_args()
     kernel, disk, cpu, benchmark, size, num_cpus = args

     if not cpu in ['kvm', 'timing']:
         m5.fatal("cpu not supported")

     # create the system we are going to simulate
     system = MySystem(kernel, disk, int(num_cpus), opts, no_kvm=False)

     # Exit from guest on workbegin/workend
     system.exit_on_work_items = True

     # Create and pass a script to the simulated system to run the reuired
     # benchmark
     system.readfile = writeBenchScript(m5.options.outdir, benchmark, size)

     # set up the root SimObject and start the simulation
     root = Root(full_system = True, system = system)

     if system.getHostParallel():
         # Required for running kvm on multiple host cores.
         # Uses gem5's parallel event queue feature
         # Note: The simulator is quite picky about this number!
         root.sim_quantum = int(1e9) # 1 ms

     #needed for long running jobs
     m5.disableAllListeners()

     # instantiate all of the objects we've created above
     m5.instantiate()

     globalStart = time.time()

     print("Running the simulation")
     print("Using cpu: {}".format(cpu))

     start_tick = m5.curTick()
     end_tick = m5.curTick()
     start_insts = system.totalInsts()
     end_insts = system.totalInsts()
     m5.stats.reset()

     exit_event = m5.simulate()

     if exit_event.getCause() == "workbegin":
         # Reached the start of ROI
         # start of ROI is marked by an
         # m5_work_begin() call
         print("Resetting stats at the start of ROI!")
         m5.stats.reset()
         start_tick = m5.curTick()
         start_insts = system.totalInsts()
         # switching to timing cpu if argument cpu == timing
         if cpu == 'timing':
             system.switchCpus(system.cpu, system.timingCpu)
     else:
         print("Unexpected termination of simulation!")
         print()
         m5.stats.dump()
         end_tick = m5.curTick()
         end_insts = system.totalInsts()
         m5.stats.reset()
         print("Performance statistics:")

         print("Simulated time: %.2fs" % ((end_tick-start_tick)/1e12))
         print("Instructions executed: %d" % ((end_insts-start_insts)))
         print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
         print("Total wallclock time: %.2fs, %.2f min" % \
                     (time.time()-globalStart, (time.time()-globalStart)/60))
         exit()

     # Simulate the ROI
     exit_event = m5.simulate()

     # Reached the end of ROI
     # Finish executing the benchmark with kvm cpu
     if exit_event.getCause() == "workend":
         # Reached the end of ROI
         # end of ROI is marked by an
         # m5_work_end() call
         print("Dump stats at the end of the ROI!")
         m5.stats.dump()
         end_tick = m5.curTick()
         end_insts = system.totalInsts()
         m5.stats.reset()
         # switching to timing cpu if argument cpu == timing
         if cpu == 'timing':
             system.switchCpus(system.timingCpu, system.cpu)
     else:
         print("Unexpected termination of simulation!")
         print()
         m5.stats.dump()
         end_tick = m5.curTick()
         end_insts = system.totalInsts()
         m5.stats.reset()
         print("Performance statistics:")

         print("Simulated time: %.2fs" % ((end_tick-start_tick)/1e12))
         print("Instructions executed: %d" % ((end_insts-start_insts)))
         print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
         print("Total wallclock time: %.2fs, %.2f min" % \
                     (time.time()-globalStart, (time.time()-globalStart)/60))
         exit()

     # Simulate the remaning part of the benchmark
     exit_event = m5.simulate()

     print("Done with the simulation")
     print()
     print("Performance statistics:")

     print("Simulated time in ROI: %.2fs" % ((end_tick-start_tick)/1e12))
     print("Instructions executed in ROI: %d" % ((end_insts-start_insts)))
     print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
     print("Total wallclock time: %.2fs, %.2f min" % \
                 (time.time()-globalStart, (time.time()-globalStart)/60))
	# -- coding: utf-8 --
	# Copyright (c) 2019 The Regents of the University of California.
	# 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.
	#

	""" Script to run PARSEC benchmarks with gem5.
	The script expects kernel, diskimage, cpu (kvm or timing),
	benchmark, benchmark size, and number of cpu cores as arguments.
	This script is best used if your disk-image has workloads tha have
	ROI annotations compliant with m5 utility. You can use the script in
	../disk-images/parsec/ with the parsec-benchmark repo at
	https://github.com/darchr/parsec-benchmark.git to create a working
	disk-image for this script.
	"""
	import errno
	import os
	import sys
	import time
	import m5
	import m5.ticks
	from m5.objects import *

	sys.path.append('gem5/configs/common/') # For the next line...
	import SimpleOpts

	from system import *

	def writeBenchScript(dir, bench, size):
	"""
	This method creates a script in dir which will be eventually
	passed to the simulated system (to run a specific benchmark
	at bootup).
	"""
	file_name = '{}/run_{}'.format(dir, bench)
	bench_file = open(file_name, 'w+')
	bench_file.write('cd /home/gem5/parsec-benchmark\n')
	bench_file.write('source env.sh\n')
	bench_file.write('parsecmgmt -a run -p \
	{} -c gcc-hooks -i {}\n'.format(bench, size))

	# sleeping for sometime makes sure
	# that the benchmark's output has been
	# printed to the console
	bench_file.write('sleep 5 \n')
	bench_file.write('m5 exit \n')
	bench_file.close()
	return file_name

	if __name__ == "__m5_main__":
	(opts, args) = SimpleOpts.parse_args()
	kernel, disk, cpu, benchmark, size, num_cpus = args

	if not cpu in ['kvm', 'timing']:
	m5.fatal("cpu not supported")

	# create the system we are going to simulate
	system = MySystem(kernel, disk, int(num_cpus), opts, no_kvm=False)

	# Exit from guest on workbegin/workend
	system.exit_on_work_items = True

	# Create and pass a script to the simulated system to run the reuired
	# benchmark
	system.readfile = writeBenchScript(m5.options.outdir, benchmark, size)

	# set up the root SimObject and start the simulation
	root = Root(full_system = True, system = system)

	if system.getHostParallel():
	# Required for running kvm on multiple host cores.
	# Uses gem5's parallel event queue feature
	# Note: The simulator is quite picky about this number!
	root.sim_quantum = int(1e9) # 1 ms

	#needed for long running jobs
	m5.disableAllListeners()

	# instantiate all of the objects we've created above
	m5.instantiate()

	globalStart = time.time()

	print("Running the simulation")
	print("Using cpu: {}".format(cpu))

	start_tick = m5.curTick()
	end_tick = m5.curTick()
	start_insts = system.totalInsts()
	end_insts = system.totalInsts()
	m5.stats.reset()

	exit_event = m5.simulate()

	if exit_event.getCause() == "workbegin":
	# Reached the start of ROI
	# start of ROI is marked by an
	# m5_work_begin() call
	print("Resetting stats at the start of ROI!")
	m5.stats.reset()
	start_tick = m5.curTick()
	start_insts = system.totalInsts()
	# switching to timing cpu if argument cpu == timing
	if cpu == 'timing':
	system.switchCpus(system.cpu, system.timingCpu)
	else:
	print("Unexpected termination of simulation!")
	print()
	m5.stats.dump()
	end_tick = m5.curTick()
	end_insts = system.totalInsts()
	m5.stats.reset()
	print("Performance statistics:")

	print("Simulated time: %.2fs" % ((end_tick-start_tick)/1e12))
	print("Instructions executed: %d" % ((end_insts-start_insts)))
	print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
	print("Total wallclock time: %.2fs, %.2f min" % \
	(time.time()-globalStart, (time.time()-globalStart)/60))
	exit()

	# Simulate the ROI
	exit_event = m5.simulate()

	# Reached the end of ROI
	# Finish executing the benchmark with kvm cpu
	if exit_event.getCause() == "workend":
	# Reached the end of ROI
	# end of ROI is marked by an
	# m5_work_end() call
	print("Dump stats at the end of the ROI!")
	m5.stats.dump()
	end_tick = m5.curTick()
	end_insts = system.totalInsts()
	m5.stats.reset()
	# switching to timing cpu if argument cpu == timing
	if cpu == 'timing':
	system.switchCpus(system.timingCpu, system.cpu)
	else:
	print("Unexpected termination of simulation!")
	print()
	m5.stats.dump()
	end_tick = m5.curTick()
	end_insts = system.totalInsts()
	m5.stats.reset()
	print("Performance statistics:")

	print("Simulated time: %.2fs" % ((end_tick-start_tick)/1e12))
	print("Instructions executed: %d" % ((end_insts-start_insts)))
	print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
	print("Total wallclock time: %.2fs, %.2f min" % \
	(time.time()-globalStart, (time.time()-globalStart)/60))
	exit()

	# Simulate the remaning part of the benchmark
	exit_event = m5.simulate()

	print("Done with the simulation")
	print()
	print("Performance statistics:")

	print("Simulated time in ROI: %.2fs" % ((end_tick-start_tick)/1e12))
	print("Instructions executed in ROI: %d" % ((end_insts-start_insts)))
	print("Ran a total of", m5.curTick()/1e12, "simulated seconds")
	print("Total wallclock time: %.2fs, %.2f min" % \
	(time.time()-globalStart, (time.time()-globalStart)/60))