apu_se.py revision 11670:6ce719503eae
1#
2#  Copyright (c) 2015 Advanced Micro Devices, Inc.
3#  All rights reserved.
4#
5#  For use for simulation and test purposes only
6#
7#  Redistribution and use in source and binary forms, with or without
8#  modification, are permitted provided that the following conditions are met:
9#
10#  1. Redistributions of source code must retain the above copyright notice,
11#  this list of conditions and the following disclaimer.
12#
13#  2. Redistributions in binary form must reproduce the above copyright notice,
14#  this list of conditions and the following disclaimer in the documentation
15#  and/or other materials provided with the distribution.
16#
17#  3. Neither the name of the copyright holder nor the names of its contributors
18#  may be used to endorse or promote products derived from this software
19#  without specific prior written permission.
20#
21#  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
22#  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
23#  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
24#  ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
25#  LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
26#  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
27#  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
28#  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
29#  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
30#  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
31#  POSSIBILITY OF SUCH DAMAGE.
32#
33#  Author: Sooraj Puthoor
34#
35
36import optparse, os, re
37import math
38import glob
39import inspect
40
41import m5
42from m5.objects import *
43from m5.util import addToPath
44
45addToPath('../')
46addToPath('../common')
47
48from ruby import Ruby
49
50import Options
51import Simulation
52import GPUTLBOptions, GPUTLBConfig
53
54########################## Script Options ########################
55def setOption(parser, opt_str, value = 1):
56    # check to make sure the option actually exists
57    if not parser.has_option(opt_str):
58        raise Exception("cannot find %s in list of possible options" % opt_str)
59
60    opt = parser.get_option(opt_str)
61    # set the value
62    exec("parser.values.%s = %s" % (opt.dest, value))
63
64def getOption(parser, opt_str):
65    # check to make sure the option actually exists
66    if not parser.has_option(opt_str):
67        raise Exception("cannot find %s in list of possible options" % opt_str)
68
69    opt = parser.get_option(opt_str)
70    # get the value
71    exec("return_value = parser.values.%s" % opt.dest)
72    return return_value
73
74# Adding script options
75parser = optparse.OptionParser()
76Options.addCommonOptions(parser)
77Options.addSEOptions(parser)
78
79parser.add_option("--cpu-only-mode", action="store_true", default=False,
80                  help="APU mode. Used to take care of problems in "\
81                       "Ruby.py while running APU protocols")
82parser.add_option("-k", "--kernel-files",
83                  help="file(s) containing GPU kernel code (colon separated)")
84parser.add_option("-u", "--num-compute-units", type="int", default=1,
85                  help="number of GPU compute units"),
86parser.add_option("--num-cp", type="int", default=0,
87                  help="Number of GPU Command Processors (CP)")
88parser.add_option("--benchmark-root", help="Root of benchmark directory tree")
89
90# not super important now, but to avoid putting the number 4 everywhere, make
91# it an option/knob
92parser.add_option("--cu-per-sqc", type="int", default=4, help="number of CUs" \
93                  "sharing an SQC (icache, and thus icache TLB)")
94parser.add_option("--simds-per-cu", type="int", default=4, help="SIMD units" \
95                  "per CU")
96parser.add_option("--wf-size", type="int", default=64,
97                  help="Wavefront size(in workitems)")
98parser.add_option("--sp-bypass-path-length", type="int", default=4, \
99                  help="Number of stages of bypass path in vector ALU for Single Precision ops")
100parser.add_option("--dp-bypass-path-length", type="int", default=4, \
101                  help="Number of stages of bypass path in vector ALU for Double Precision ops")
102# issue period per SIMD unit: number of cycles before issuing another vector
103parser.add_option("--issue-period", type="int", default=4, \
104                  help="Number of cycles per vector instruction issue period")
105parser.add_option("--glbmem-wr-bus-width", type="int", default=32, \
106                  help="VGPR to Coalescer (Global Memory) data bus width in bytes")
107parser.add_option("--glbmem-rd-bus-width", type="int", default=32, \
108                  help="Coalescer to VGPR (Global Memory) data bus width in bytes")
109# Currently we only support 1 local memory pipe
110parser.add_option("--shr-mem-pipes-per-cu", type="int", default=1, \
111                  help="Number of Shared Memory pipelines per CU")
112# Currently we only support 1 global memory pipe
113parser.add_option("--glb-mem-pipes-per-cu", type="int", default=1, \
114                  help="Number of Global Memory pipelines per CU")
115parser.add_option("--wfs-per-simd", type="int", default=10, help="Number of " \
116                  "WF slots per SIMD")
117
118parser.add_option("--vreg-file-size", type="int", default=2048,
119                  help="number of physical vector registers per SIMD")
120parser.add_option("--bw-scalor", type="int", default=0,
121                  help="bandwidth scalor for scalability analysis")
122parser.add_option("--CPUClock", type="string", default="2GHz",
123                  help="CPU clock")
124parser.add_option("--GPUClock", type="string", default="1GHz",
125                  help="GPU clock")
126parser.add_option("--cpu-voltage", action="store", type="string",
127                  default='1.0V',
128                  help = """CPU  voltage domain""")
129parser.add_option("--gpu-voltage", action="store", type="string",
130                  default='1.0V',
131                  help = """CPU  voltage domain""")
132parser.add_option("--CUExecPolicy", type="string", default="OLDEST-FIRST",
133                  help="WF exec policy (OLDEST-FIRST, ROUND-ROBIN)")
134parser.add_option("--xact-cas-mode", action="store_true",
135                  help="enable load_compare mode (transactional CAS)")
136parser.add_option("--SegFaultDebug",action="store_true",
137                 help="checks for GPU seg fault before TLB access")
138parser.add_option("--FunctionalTLB",action="store_true",
139                 help="Assumes TLB has no latency")
140parser.add_option("--LocalMemBarrier",action="store_true",
141                 help="Barrier does not wait for writethroughs to complete")
142parser.add_option("--countPages", action="store_true",
143                 help="Count Page Accesses and output in per-CU output files")
144parser.add_option("--TLB-prefetch", type="int", help = "prefetch depth for"\
145                  "TLBs")
146parser.add_option("--pf-type", type="string", help="type of prefetch: "\
147                  "PF_CU, PF_WF, PF_PHASE, PF_STRIDE")
148parser.add_option("--pf-stride", type="int", help="set prefetch stride")
149parser.add_option("--numLdsBanks", type="int", default=32,
150                  help="number of physical banks per LDS module")
151parser.add_option("--ldsBankConflictPenalty", type="int", default=1,
152                  help="number of cycles per LDS bank conflict")
153parser.add_option('--fast-forward-pseudo-op', action='store_true',
154                  help = 'fast forward using kvm until the m5_switchcpu'
155                  ' pseudo-op is encountered, then switch cpus. subsequent'
156                  ' m5_switchcpu pseudo-ops will toggle back and forth')
157
158
159Ruby.define_options(parser)
160
161#add TLB options to the parser
162GPUTLBOptions.tlb_options(parser)
163
164(options, args) = parser.parse_args()
165
166# The GPU cache coherence protocols only work with the backing store
167setOption(parser, "--access-backing-store")
168
169# if benchmark root is specified explicitly, that overrides the search path
170if options.benchmark_root:
171    benchmark_path = [options.benchmark_root]
172else:
173    # Set default benchmark search path to current dir
174    benchmark_path = ['.']
175
176########################## Sanity Check ########################
177
178# Currently the gpu model requires ruby
179if buildEnv['PROTOCOL'] == 'None':
180    fatal("GPU model requires ruby")
181
182# Currently the gpu model requires only timing or detailed CPU
183if not (options.cpu_type == "timing" or
184   options.cpu_type == "detailed"):
185    fatal("GPU model requires timing or detailed CPU")
186
187# This file can support multiple compute units
188assert(options.num_compute_units >= 1)
189
190# Currently, the sqc (I-Cache of GPU) is shared by
191# multiple compute units(CUs). The protocol works just fine
192# even if sqc is not shared. Overriding this option here
193# so that the user need not explicitly set this (assuming
194# sharing sqc is the common usage)
195n_cu = options.num_compute_units
196num_sqc = int(math.ceil(float(n_cu) / options.cu_per_sqc))
197options.num_sqc = num_sqc # pass this to Ruby
198
199########################## Creating the GPU system ########################
200# shader is the GPU
201shader = Shader(n_wf = options.wfs_per_simd,
202                clk_domain = SrcClockDomain(
203                    clock = options.GPUClock,
204                    voltage_domain = VoltageDomain(
205                        voltage = options.gpu_voltage)))
206
207# GPU_RfO(Read For Ownership) implements SC/TSO memory model.
208# Other GPU protocols implement release consistency at GPU side.
209# So, all GPU protocols other than GPU_RfO should make their writes
210# visible to the global memory and should read from global memory
211# during kernal boundary. The pipeline initiates(or do not initiate)
212# the acquire/release operation depending on this impl_kern_boundary_sync
213# flag. This flag=true means pipeline initiates a acquire/release operation
214# at kernel boundary.
215if buildEnv['PROTOCOL'] == 'GPU_RfO':
216    shader.impl_kern_boundary_sync = False
217else:
218    shader.impl_kern_boundary_sync = True
219
220# Switching off per-lane TLB by default
221per_lane = False
222if options.TLB_config == "perLane":
223    per_lane = True
224
225# List of compute units; one GPU can have multiple compute units
226compute_units = []
227for i in xrange(n_cu):
228    compute_units.append(ComputeUnit(cu_id = i, perLaneTLB = per_lane,
229                                     num_SIMDs = options.simds_per_cu,
230                                     wfSize = options.wf_size,
231                                     spbypass_pipe_length = options.sp_bypass_path_length,
232                                     dpbypass_pipe_length = options.dp_bypass_path_length,
233                                     issue_period = options.issue_period,
234                                     coalescer_to_vrf_bus_width = \
235                                     options.glbmem_rd_bus_width,
236                                     vrf_to_coalescer_bus_width = \
237                                     options.glbmem_wr_bus_width,
238                                     num_global_mem_pipes = \
239                                     options.glb_mem_pipes_per_cu,
240                                     num_shared_mem_pipes = \
241                                     options.shr_mem_pipes_per_cu,
242                                     n_wf = options.wfs_per_simd,
243                                     execPolicy = options.CUExecPolicy,
244                                     xactCasMode = options.xact_cas_mode,
245                                     debugSegFault = options.SegFaultDebug,
246                                     functionalTLB = options.FunctionalTLB,
247                                     localMemBarrier = options.LocalMemBarrier,
248                                     countPages = options.countPages,
249                                     localDataStore = \
250                                     LdsState(banks = options.numLdsBanks,
251                                              bankConflictPenalty = \
252                                              options.ldsBankConflictPenalty)))
253    wavefronts = []
254    vrfs = []
255    for j in xrange(options.simds_per_cu):
256        for k in xrange(shader.n_wf):
257            wavefronts.append(Wavefront(simdId = j, wf_slot_id = k,
258                                        wfSize = options.wf_size))
259        vrfs.append(VectorRegisterFile(simd_id=j,
260                              num_regs_per_simd=options.vreg_file_size))
261    compute_units[-1].wavefronts = wavefronts
262    compute_units[-1].vector_register_file = vrfs
263    if options.TLB_prefetch:
264        compute_units[-1].prefetch_depth = options.TLB_prefetch
265        compute_units[-1].prefetch_prev_type = options.pf_type
266
267    # attach the LDS and the CU to the bus (actually a Bridge)
268    compute_units[-1].ldsPort = compute_units[-1].ldsBus.slave
269    compute_units[-1].ldsBus.master = compute_units[-1].localDataStore.cuPort
270
271# Attach compute units to GPU
272shader.CUs = compute_units
273
274########################## Creating the CPU system ########################
275options.num_cpus = options.num_cpus
276
277# The shader core will be whatever is after the CPU cores are accounted for
278shader_idx = options.num_cpus
279
280# The command processor will be whatever is after the shader is accounted for
281cp_idx = shader_idx + 1
282cp_list = []
283
284# List of CPUs
285cpu_list = []
286
287CpuClass, mem_mode = Simulation.getCPUClass(options.cpu_type)
288if CpuClass == AtomicSimpleCPU:
289    fatal("AtomicSimpleCPU is not supported")
290if mem_mode != 'timing':
291    fatal("Only the timing memory mode is supported")
292shader.timing = True
293
294if options.fast_forward and options.fast_forward_pseudo_op:
295    fatal("Cannot fast-forward based both on the number of instructions and"
296          " on pseudo-ops")
297fast_forward = options.fast_forward or options.fast_forward_pseudo_op
298
299if fast_forward:
300    FutureCpuClass, future_mem_mode = CpuClass, mem_mode
301
302    CpuClass = X86KvmCPU
303    mem_mode = 'atomic_noncaching'
304    # Leave shader.timing untouched, because its value only matters at the
305    # start of the simulation and because we require switching cpus
306    # *before* the first kernel launch.
307
308    future_cpu_list = []
309
310    # Initial CPUs to be used during fast-forwarding.
311    for i in xrange(options.num_cpus):
312        cpu = CpuClass(cpu_id = i,
313                       clk_domain = SrcClockDomain(
314                           clock = options.CPUClock,
315                           voltage_domain = VoltageDomain(
316                               voltage = options.cpu_voltage)))
317        cpu_list.append(cpu)
318
319        if options.fast_forward:
320            cpu.max_insts_any_thread = int(options.fast_forward)
321
322if fast_forward:
323    MainCpuClass = FutureCpuClass
324else:
325    MainCpuClass = CpuClass
326
327# CPs to be used throughout the simulation.
328for i in xrange(options.num_cp):
329    cp = MainCpuClass(cpu_id = options.num_cpus + i,
330                      clk_domain = SrcClockDomain(
331                          clock = options.CPUClock,
332                          voltage_domain = VoltageDomain(
333                              voltage = options.cpu_voltage)))
334    cp_list.append(cp)
335
336# Main CPUs (to be used after fast-forwarding if fast-forwarding is specified).
337for i in xrange(options.num_cpus):
338    cpu = MainCpuClass(cpu_id = i,
339                       clk_domain = SrcClockDomain(
340                           clock = options.CPUClock,
341                           voltage_domain = VoltageDomain(
342                               voltage = options.cpu_voltage)))
343    if fast_forward:
344        cpu.switched_out = True
345        future_cpu_list.append(cpu)
346    else:
347        cpu_list.append(cpu)
348
349########################## Creating the GPU dispatcher ########################
350# Dispatcher dispatches work from host CPU to GPU
351host_cpu = cpu_list[0]
352dispatcher = GpuDispatcher()
353
354########################## Create and assign the workload ########################
355# Check for rel_path in elements of base_list using test, returning
356# the first full path that satisfies test
357def find_path(base_list, rel_path, test):
358    for base in base_list:
359        if not base:
360            # base could be None if environment var not set
361            continue
362        full_path = os.path.join(base, rel_path)
363        if test(full_path):
364            return full_path
365    fatal("%s not found in %s" % (rel_path, base_list))
366
367def find_file(base_list, rel_path):
368    return find_path(base_list, rel_path, os.path.isfile)
369
370executable = find_path(benchmark_path, options.cmd, os.path.exists)
371# it's common for a benchmark to be in a directory with the same
372# name as the executable, so we handle that automatically
373if os.path.isdir(executable):
374    benchmark_path = [executable]
375    executable = find_file(benchmark_path, options.cmd)
376if options.kernel_files:
377    kernel_files = [find_file(benchmark_path, f)
378                    for f in options.kernel_files.split(':')]
379else:
380    # if kernel_files is not set, see if there's a unique .asm file
381    # in the same directory as the executable
382    kernel_path = os.path.dirname(executable)
383    kernel_files = glob.glob(os.path.join(kernel_path, '*.asm'))
384    if kernel_files:
385        print "Using GPU kernel code file(s)", ",".join(kernel_files)
386    else:
387        fatal("Can't locate kernel code (.asm) in " + kernel_path)
388
389# OpenCL driver
390driver = ClDriver(filename="hsa", codefile=kernel_files)
391for cpu in cpu_list:
392    cpu.workload = LiveProcess(executable = executable,
393                               cmd = [options.cmd] + options.options.split(),
394                               drivers = [driver])
395for cp in cp_list:
396    cp.workload = host_cpu.workload
397
398if fast_forward:
399    for i in xrange(len(future_cpu_list)):
400        future_cpu_list[i].workload = cpu_list[i].workload
401
402########################## Create the overall system ########################
403# List of CPUs that must be switched when moving between KVM and simulation
404if fast_forward:
405    switch_cpu_list = \
406        [(cpu_list[i], future_cpu_list[i]) for i in xrange(options.num_cpus)]
407
408# Full list of processing cores in the system. Note that
409# dispatcher is also added to cpu_list although it is
410# not a processing element
411cpu_list = cpu_list + [shader] + cp_list + [dispatcher]
412
413# creating the overall system
414# notice the cpu list is explicitly added as a parameter to System
415system = System(cpu = cpu_list,
416                mem_ranges = [AddrRange(options.mem_size)],
417                cache_line_size = options.cacheline_size,
418                mem_mode = mem_mode)
419if fast_forward:
420    system.future_cpu = future_cpu_list
421system.voltage_domain = VoltageDomain(voltage = options.sys_voltage)
422system.clk_domain = SrcClockDomain(clock =  options.sys_clock,
423                                   voltage_domain = system.voltage_domain)
424
425if fast_forward:
426    have_kvm_support = 'BaseKvmCPU' in globals()
427    if have_kvm_support and buildEnv['TARGET_ISA'] == "x86":
428        system.vm = KvmVM()
429        for i in xrange(len(host_cpu.workload)):
430            host_cpu.workload[i].useArchPT = True
431            host_cpu.workload[i].kvmInSE = True
432    else:
433        fatal("KvmCPU can only be used in SE mode with x86")
434
435# configure the TLB hierarchy
436GPUTLBConfig.config_tlb_hierarchy(options, system, shader_idx)
437
438# create Ruby system
439system.piobus = IOXBar(width=32, response_latency=0,
440                       frontend_latency=0, forward_latency=0)
441Ruby.create_system(options, None, system)
442system.ruby.clk_domain = SrcClockDomain(clock = options.ruby_clock,
443                                    voltage_domain = system.voltage_domain)
444
445# attach the CPU ports to Ruby
446for i in range(options.num_cpus):
447    ruby_port = system.ruby._cpu_ports[i]
448
449    # Create interrupt controller
450    system.cpu[i].createInterruptController()
451
452    # Connect cache port's to ruby
453    system.cpu[i].icache_port = ruby_port.slave
454    system.cpu[i].dcache_port = ruby_port.slave
455
456    ruby_port.mem_master_port = system.piobus.slave
457    if buildEnv['TARGET_ISA'] == "x86":
458        system.cpu[i].interrupts[0].pio = system.piobus.master
459        system.cpu[i].interrupts[0].int_master = system.piobus.slave
460        system.cpu[i].interrupts[0].int_slave = system.piobus.master
461        if fast_forward:
462            system.cpu[i].itb.walker.port = ruby_port.slave
463            system.cpu[i].dtb.walker.port = ruby_port.slave
464
465# attach CU ports to Ruby
466# Because of the peculiarities of the CP core, you may have 1 CPU but 2
467# sequencers and thus 2 _cpu_ports created. Your GPUs shouldn't be
468# hooked up until after the CP. To make this script generic, figure out
469# the index as below, but note that this assumes there is one sequencer
470# per compute unit and one sequencer per SQC for the math to work out
471# correctly.
472gpu_port_idx = len(system.ruby._cpu_ports) \
473               - options.num_compute_units - options.num_sqc
474gpu_port_idx = gpu_port_idx - options.num_cp * 2
475
476wavefront_size = options.wf_size
477for i in xrange(n_cu):
478    # The pipeline issues wavefront_size number of uncoalesced requests
479    # in one GPU issue cycle. Hence wavefront_size mem ports.
480    for j in xrange(wavefront_size):
481        system.cpu[shader_idx].CUs[i].memory_port[j] = \
482                  system.ruby._cpu_ports[gpu_port_idx].slave[j]
483    gpu_port_idx += 1
484
485for i in xrange(n_cu):
486    if i > 0 and not i % options.cu_per_sqc:
487        print "incrementing idx on ", i
488        gpu_port_idx += 1
489    system.cpu[shader_idx].CUs[i].sqc_port = \
490            system.ruby._cpu_ports[gpu_port_idx].slave
491gpu_port_idx = gpu_port_idx + 1
492
493# attach CP ports to Ruby
494for i in xrange(options.num_cp):
495    system.cpu[cp_idx].createInterruptController()
496    system.cpu[cp_idx].dcache_port = \
497                system.ruby._cpu_ports[gpu_port_idx + i * 2].slave
498    system.cpu[cp_idx].icache_port = \
499                system.ruby._cpu_ports[gpu_port_idx + i * 2 + 1].slave
500    system.cpu[cp_idx].interrupts[0].pio = system.piobus.master
501    system.cpu[cp_idx].interrupts[0].int_master = system.piobus.slave
502    system.cpu[cp_idx].interrupts[0].int_slave = system.piobus.master
503    cp_idx = cp_idx + 1
504
505# connect dispatcher to the system.piobus
506dispatcher.pio = system.piobus.master
507dispatcher.dma = system.piobus.slave
508
509################# Connect the CPU and GPU via GPU Dispatcher ###################
510# CPU rings the GPU doorbell to notify a pending task
511# using this interface.
512# And GPU uses this interface to notify the CPU of task completion
513# The communcation happens through emulated driver.
514
515# Note this implicit setting of the cpu_pointer, shader_pointer and tlb array
516# parameters must be after the explicit setting of the System cpu list
517if fast_forward:
518    shader.cpu_pointer = future_cpu_list[0]
519    dispatcher.cpu = future_cpu_list[0]
520else:
521    shader.cpu_pointer = host_cpu
522    dispatcher.cpu = host_cpu
523dispatcher.shader_pointer = shader
524dispatcher.cl_driver = driver
525
526########################## Start simulation ########################
527
528root = Root(system=system, full_system=False)
529m5.ticks.setGlobalFrequency('1THz')
530if options.abs_max_tick:
531    maxtick = options.abs_max_tick
532else:
533    maxtick = m5.MaxTick
534
535# Benchmarks support work item annotations
536Simulation.setWorkCountOptions(system, options)
537
538# Checkpointing is not supported by APU model
539if (options.checkpoint_dir != None or
540    options.checkpoint_restore != None):
541    fatal("Checkpointing not supported by apu model")
542
543checkpoint_dir = None
544m5.instantiate(checkpoint_dir)
545
546# Map workload to this address space
547host_cpu.workload[0].map(0x10000000, 0x200000000, 4096)
548
549if options.fast_forward:
550    print "Switch at instruction count: %d" % \
551        cpu_list[0].max_insts_any_thread
552
553exit_event = m5.simulate(maxtick)
554
555if options.fast_forward:
556    if exit_event.getCause() == "a thread reached the max instruction count":
557        m5.switchCpus(system, switch_cpu_list)
558        print "Switched CPUS @ tick %s" % (m5.curTick())
559        m5.stats.reset()
560        exit_event = m5.simulate(maxtick - m5.curTick())
561elif options.fast_forward_pseudo_op:
562    while exit_event.getCause() == "switchcpu":
563        # If we are switching *to* kvm, then the current stats are meaningful
564        # Note that we don't do any warmup by default
565        if type(switch_cpu_list[0][0]) == FutureCpuClass:
566            print "Dumping stats..."
567            m5.stats.dump()
568        m5.switchCpus(system, switch_cpu_list)
569        print "Switched CPUS @ tick %s" % (m5.curTick())
570        m5.stats.reset()
571        # This lets us switch back and forth without keeping a counter
572        switch_cpu_list = [(x[1], x[0]) for x in switch_cpu_list]
573        exit_event = m5.simulate(maxtick - m5.curTick())
574
575print "Ticks:", m5.curTick()
576print 'Exiting because ', exit_event.getCause()
577sys.exit(exit_event.getCode())
578