configs: Add a lat_mem_rd style test script
This patch adds a config script that broadly replicates the behaviour of lat_mem_rd. The test is based on traffic generators, and as such we simply randomise addresses in increasingly large ranges, and play them back using the trace functionality of the traffic generator. The test script is accompanied by a post-processing and visualisation script. At the moment no configurability is added to tweak the memory hierarchy, but a follow on patch could easily extend the functionality.
This commit is contained in:
Andreas Hansson
parent
fcbc208bb3
commit
48d07b3fa3
2 changed files with 456 additions and 0 deletions
305
configs/dram/lat_mem_rd.py
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305
configs/dram/lat_mem_rd.py
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# Copyright (c) 2015 ARM Limited
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# All rights reserved.
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#
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# The license below extends only to copyright in the software and shall
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# not be construed as granting a license to any other intellectual
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# property including but not limited to intellectual property relating
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# to a hardware implementation of the functionality of the software
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# licensed hereunder. You may use the software subject to the license
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# terms below provided that you ensure that this notice is replicated
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# unmodified and in its entirety in all distributions of the software,
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# modified or unmodified, in source code or in binary form.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met: redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer;
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# redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution;
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# neither the name of the copyright holders nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# Authors: Andreas Hansson
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import gzip
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import optparse
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import os
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import m5
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from m5.objects import *
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from m5.util import addToPath
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from m5.internal.stats import periodicStatDump
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addToPath('../common')
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import MemConfig
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addToPath('../../util')
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import protolib
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# this script is helpful to observe the memory latency for various
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# levels in a cache hierarchy, and various cache and memory
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# configurations, in essence replicating the lmbench lat_mem_rd thrash
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# behaviour
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# import the packet proto definitions, and if they are not found,
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# attempt to generate them automatically
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try:
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import packet_pb2
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except:
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print "Did not find packet proto definitions, attempting to generate"
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from subprocess import call
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error = call(['protoc', '--python_out=configs/dram',
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'--proto_path=src/proto', 'src/proto/packet.proto'])
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if not error:
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print "Generated packet proto definitions"
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try:
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import google.protobuf
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except:
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print "Please install the Python protobuf module"
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exit(-1)
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import packet_pb2
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else:
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print "Failed to import packet proto definitions"
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exit(-1)
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parser = optparse.OptionParser()
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parser.add_option("--mem-type", type="choice", default="DDR3_1600_x64",
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choices=MemConfig.mem_names(),
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help = "type of memory to use")
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parser.add_option("--mem-size", action="store", type="string",
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default="16MB",
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help="Specify the memory size")
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parser.add_option("--reuse-trace", action="store_true",
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help="Prevent generation of traces and reuse existing")
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(options, args) = parser.parse_args()
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if args:
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print "Error: script doesn't take any positional arguments"
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sys.exit(1)
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# start by creating the system itself, using a multi-layer 2.0 GHz
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# crossbar, delivering 64 bytes / 3 cycles (one header cycle) which
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# amounts to 42.7 GByte/s per layer and thus per port
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system = System(membus = SystemXBar(width = 32))
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system.clk_domain = SrcClockDomain(clock = '2.0GHz',
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voltage_domain =
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VoltageDomain(voltage = '1V'))
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mem_range = AddrRange(options.mem_size)
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system.mem_ranges = [mem_range]
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# do not worry about reserving space for the backing store
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system.mmap_using_noreserve = True
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# currently not exposed as command-line options, set here for now
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options.mem_channels = 1
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options.mem_ranks = 1
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options.external_memory_system = 0
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options.tlm_memory = 0
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options.elastic_trace_en = 0
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MemConfig.config_mem(options, system)
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# there is no point slowing things down by saving any data
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for ctrl in system.mem_ctrls:
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ctrl.null = True
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# the following assumes that we are using the native DRAM
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# controller, check to be sure
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if isinstance(ctrl, m5.objects.DRAMCtrl):
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# make the DRAM refresh interval sufficiently infinite to avoid
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# latency spikes
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ctrl.tREFI = '100s'
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# use the same concept as the utilisation sweep, and print the config
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# so that we can later read it in
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cfg_file_name = os.path.join(m5.options.outdir, "lat_mem_rd.cfg")
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cfg_file = open(cfg_file_name, 'w')
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# set an appropriate burst length in bytes
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burst_size = 64
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system.cache_line_size = burst_size
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# lazy version to check if an integer is a power of two
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def is_pow2(num):
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return num != 0 and ((num & (num - 1)) == 0)
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# assume we start every range at 0
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max_range = int(mem_range.end)
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# start at a size of 4 kByte, and go up till we hit the max, increase
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# the step every time we hit a power of two
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min_range = 4096
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ranges = [min_range]
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step = 1024
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while ranges[-1] < max_range:
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new_range = ranges[-1] + step
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if is_pow2(new_range):
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step *= 2
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ranges.append(new_range)
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# how many times to repeat the measurement for each data point
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iterations = 2
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# 150 ns in ticks, this is choosen to be high enough that transactions
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# do not pile up in the system, adjust if needed
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itt = 150 * 1000
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# for every data point, we create a trace containing a random address
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# sequence, so that we can play back the same sequence for warming and
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# the actual measurement
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def create_trace(filename, max_addr, burst_size, itt):
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try:
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proto_out = gzip.open(filename, 'wb')
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except IOError:
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print "Failed to open ", filename, " for writing"
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exit(-1)
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# write the magic number in 4-byte Little Endian, similar to what
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# is done in src/proto/protoio.cc
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proto_out.write("gem5")
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# add the packet header
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header = packet_pb2.PacketHeader()
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header.obj_id = "lat_mem_rd for range 0:" + str(max_addr)
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# assume the default tick rate (1 ps)
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header.tick_freq = 1000000000000
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protolib.encodeMessage(proto_out, header)
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# create a list of every single address to touch
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addrs = range(0, max_addr, burst_size)
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import random
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random.shuffle(addrs)
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tick = 0
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# create a packet we can re-use for all the addresses
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packet = packet_pb2.Packet()
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# ReadReq is 1 in src/mem/packet.hh Command enum
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packet.cmd = 1
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packet.size = int(burst_size)
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for addr in addrs:
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packet.tick = long(tick)
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packet.addr = long(addr)
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protolib.encodeMessage(proto_out, packet)
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tick = tick + itt
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proto_out.close()
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# this will take a while, so keep the user informed
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print "Generating traces, please wait..."
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nxt_range = 0
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nxt_state = 0
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period = long(itt * (max_range / burst_size))
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# now we create the states for each range
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for r in ranges:
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filename = os.path.join(m5.options.outdir,
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'lat_mem_rd%d.trc.gz' % nxt_range)
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if not options.reuse_trace:
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# create the actual random trace for this range
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create_trace(filename, r, burst_size, itt)
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# the warming state
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cfg_file.write("STATE %d %d TRACE %s 0\n" %
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(nxt_state, period, filename))
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nxt_state = nxt_state + 1
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# the measuring states
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for i in range(iterations):
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cfg_file.write("STATE %d %d TRACE %s 0\n" %
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(nxt_state, period, filename))
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nxt_state = nxt_state + 1
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nxt_range = nxt_range + 1
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cfg_file.write("INIT 0\n")
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# go through the states one by one
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for state in range(1, nxt_state):
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cfg_file.write("TRANSITION %d %d 1\n" % (state - 1, state))
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cfg_file.write("TRANSITION %d %d 1\n" % (nxt_state - 1, nxt_state - 1))
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cfg_file.close()
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# create a traffic generator, and point it to the file we just created
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system.tgen = TrafficGen(config_file = cfg_file_name)
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# add a communication monitor
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system.monitor = CommMonitor()
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# connect the traffic generator to the system
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system.tgen.port = system.monitor.slave
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# create the actual cache hierarchy, for now just go with something
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# basic to explore some of the options
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from Caches import *
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# a starting point for an L3 cache
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class L3Cache(Cache):
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assoc = 16
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hit_latency = 40
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response_latency = 40
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mshrs = 32
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tgts_per_mshr = 12
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write_buffers = 16
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# note that everything is in the same clock domain, 2.0 GHz as
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# specified above
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system.l1cache = L1_DCache(size = '64kB')
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system.monitor.master = system.l1cache.cpu_side
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system.l2cache = L2Cache(size = '512kB', writeback_clean = True)
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system.l2cache.xbar = L2XBar()
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system.l1cache.mem_side = system.l2cache.xbar.slave
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system.l2cache.cpu_side = system.l2cache.xbar.master
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# make the L3 mostly exclusive, and correspondingly ensure that the L2
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# writes back also clean lines to the L3
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system.l3cache = L3Cache(size = '4MB', clusivity = 'mostly_excl')
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system.l3cache.xbar = L2XBar()
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system.l2cache.mem_side = system.l3cache.xbar.slave
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system.l3cache.cpu_side = system.l3cache.xbar.master
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system.l3cache.mem_side = system.membus.slave
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# connect the system port even if it is not used in this example
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system.system_port = system.membus.slave
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# every period, dump and reset all stats
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periodicStatDump(period)
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# run Forrest, run!
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root = Root(full_system = False, system = system)
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root.system.mem_mode = 'timing'
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m5.instantiate()
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m5.simulate(nxt_state * period)
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# print all we need to make sense of the stats output
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print "lat_mem_rd with %d iterations, ranges:" % iterations
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for r in ranges:
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print r
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151
util/dram_lat_mem_rd_plot.py
Executable file
151
util/dram_lat_mem_rd_plot.py
Executable file
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#!/usr/bin/env python
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# Copyright (c) 2015 ARM Limited
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# All rights reserved
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#
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# The license below extends only to copyright in the software and shall
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# not be construed as granting a license to any other intellectual
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# property including but not limited to intellectual property relating
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# to a hardware implementation of the functionality of the software
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# licensed hereunder. You may use the software subject to the license
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# terms below provided that you ensure that this notice is replicated
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# unmodified and in its entirety in all distributions of the software,
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# modified or unmodified, in source code or in binary form.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met: redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer;
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# redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution;
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# neither the name of the copyright holders nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# Authors: Andreas Hansson
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try:
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import matplotlib.pyplot as plt
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import matplotlib as mpl
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import numpy as np
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except ImportError:
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print "Failed to import matplotlib and numpy"
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exit(-1)
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import sys
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import re
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# This script is intended to post process and plot the output from
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# running configs/dram/lat_mem_rd.py, as such it parses the simout and
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# stats.txt to get the relevant data points.
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def main():
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if len(sys.argv) != 2:
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print "Usage: ", sys.argv[0], "<simout directory>"
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exit(-1)
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try:
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stats = open(sys.argv[1] + '/stats.txt', 'r')
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except IOError:
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print "Failed to open ", sys.argv[1] + '/stats.txt', " for reading"
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exit(-1)
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try:
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simout = open(sys.argv[1] + '/simout', 'r')
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except IOError:
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print "Failed to open ", sys.argv[1] + '/simout', " for reading"
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exit(-1)
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# Get the address ranges
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got_ranges = False
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ranges = []
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iterations = 1
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for line in simout:
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if got_ranges:
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ranges.append(int(line) / 1024)
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match = re.match("lat_mem_rd with (\d+) iterations, ranges:.*", line)
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if match:
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got_ranges = True
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iterations = int(match.groups(0)[0])
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simout.close()
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if not got_ranges:
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print "Failed to get address ranges, ensure simout is up-to-date"
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exit(-1)
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# Now parse the stats
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raw_rd_lat = []
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for line in stats:
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match = re.match(".*readLatencyHist::mean\s+(.+)\s+#.*", line)
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if match:
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raw_rd_lat.append(float(match.groups(0)[0]) / 1000)
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stats.close()
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# The stats also contain the warming, so filter the latency stats
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i = 0
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filtered_rd_lat = []
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for l in raw_rd_lat:
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if i % (iterations + 1) == 0:
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pass
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else:
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filtered_rd_lat.append(l)
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i = i + 1
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# Next we need to take care of the iterations
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rd_lat = []
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for i in range(iterations):
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rd_lat.append(filtered_rd_lat[i::iterations])
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final_rd_lat = map(lambda p: min(p), zip(*rd_lat))
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# Sanity check
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if not (len(ranges) == len(final_rd_lat)):
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print "Address ranges (%d) and read latency (%d) do not match" % \
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(len(ranges), len(final_rd_lat))
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exit(-1)
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for (r, l) in zip(ranges, final_rd_lat):
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print r, round(l, 2)
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# lazy version to check if an integer is a power of two
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def is_pow2(num):
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return num != 0 and ((num & (num - 1)) == 0)
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plt.semilogx(ranges, final_rd_lat)
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# create human readable labels
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xticks_locations = [r for r in ranges if is_pow2(r)]
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xticks_labels = []
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for x in xticks_locations:
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if x < 1024:
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xticks_labels.append('%d kB' % x)
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else:
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xticks_labels.append('%d MB' % (x / 1024))
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plt.xticks(xticks_locations, xticks_labels, rotation=-45)
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plt.minorticks_off()
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plt.xlim((xticks_locations[0], xticks_locations[-1]))
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plt.ylabel("Latency (ns)")
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plt.grid(True)
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plt.show()
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if __name__ == "__main__":
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main()
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Reference in a new issue