gem5/configs/dram/lat_mem_rd.py
Wendy Elsasser ca0fd665dc mem: Update DRAM configuration names
Names of DRAM configurations were updated to reflect both
the channel and device data width.

Previous naming format was:
	<DEVICE_TYPE>_<DATA_RATE>_<CHANNEL_WIDTH>

The following nomenclature is now used:
	<DEVICE_TYPE>_<DATA_RATE>_<n>x<w>
where n = The number of devices per rank on the channel
      x = Device width

Total channel width can be calculated by n*w

Example:
A 64-bit DDR4, 2400 channel consisting of 4-bit devices:
	n = 16
	w = 4
The resulting configuration name is:
	DDR4_2400_16x4

Updated scripts to match new naming convention.

Added unique configurations for DDR4 for:
1) 16x4
2) 8x8
3) 4x16

Change-Id: Ibd7f763b7248835c624309143cb9fc29d56a69d1
Reviewed-by: Radhika Jagtap <radhika.jagtap@arm.com>
Reviewed-by: Curtis Dunham <curtis.dunham@arm.com>
2017-02-14 15:09:18 -06:00

307 lines
10 KiB
Python

# Copyright (c) 2015-2016 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the functionality of the software
# licensed hereunder. You may use the software subject to the license
# terms below provided that you ensure that this notice is replicated
# unmodified and in its entirety in all distributions of the software,
# modified or unmodified, in source code or in binary form.
#
# 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: Andreas Hansson
import gzip
import optparse
import os
import m5
from m5.objects import *
from m5.util import addToPath
from m5.stats import periodicStatDump
addToPath('../')
from common import MemConfig
addToPath('../../util')
import protolib
# this script is helpful to observe the memory latency for various
# levels in a cache hierarchy, and various cache and memory
# configurations, in essence replicating the lmbench lat_mem_rd thrash
# behaviour
# import the packet proto definitions, and if they are not found,
# attempt to generate them automatically
try:
import packet_pb2
except:
print "Did not find packet proto definitions, attempting to generate"
from subprocess import call
error = call(['protoc', '--python_out=configs/dram',
'--proto_path=src/proto', 'src/proto/packet.proto'])
if not error:
print "Generated packet proto definitions"
try:
import google.protobuf
except:
print "Please install the Python protobuf module"
exit(-1)
import packet_pb2
else:
print "Failed to import packet proto definitions"
exit(-1)
parser = optparse.OptionParser()
parser.add_option("--mem-type", type="choice", default="DDR3_1600_8x8",
choices=MemConfig.mem_names(),
help = "type of memory to use")
parser.add_option("--mem-size", action="store", type="string",
default="16MB",
help="Specify the memory size")
parser.add_option("--reuse-trace", action="store_true",
help="Prevent generation of traces and reuse existing")
(options, args) = parser.parse_args()
if args:
print "Error: script doesn't take any positional arguments"
sys.exit(1)
# start by creating the system itself, using a multi-layer 2.0 GHz
# crossbar, delivering 64 bytes / 3 cycles (one header cycle) which
# amounts to 42.7 GByte/s per layer and thus per port
system = System(membus = SystemXBar(width = 32))
system.clk_domain = SrcClockDomain(clock = '2.0GHz',
voltage_domain =
VoltageDomain(voltage = '1V'))
mem_range = AddrRange(options.mem_size)
system.mem_ranges = [mem_range]
# do not worry about reserving space for the backing store
system.mmap_using_noreserve = True
# currently not exposed as command-line options, set here for now
options.mem_channels = 1
options.mem_ranks = 1
options.external_memory_system = 0
options.tlm_memory = 0
options.elastic_trace_en = 0
MemConfig.config_mem(options, system)
# there is no point slowing things down by saving any data
for ctrl in system.mem_ctrls:
ctrl.null = True
# the following assumes that we are using the native DRAM
# controller, check to be sure
if isinstance(ctrl, m5.objects.DRAMCtrl):
# make the DRAM refresh interval sufficiently infinite to avoid
# latency spikes
ctrl.tREFI = '100s'
# use the same concept as the utilisation sweep, and print the config
# so that we can later read it in
cfg_file_name = os.path.join(m5.options.outdir, "lat_mem_rd.cfg")
cfg_file = open(cfg_file_name, 'w')
# set an appropriate burst length in bytes
burst_size = 64
system.cache_line_size = burst_size
# lazy version to check if an integer is a power of two
def is_pow2(num):
return num != 0 and ((num & (num - 1)) == 0)
# assume we start every range at 0
max_range = int(mem_range.end)
# start at a size of 4 kByte, and go up till we hit the max, increase
# the step every time we hit a power of two
min_range = 4096
ranges = [min_range]
step = 1024
while ranges[-1] < max_range:
new_range = ranges[-1] + step
if is_pow2(new_range):
step *= 2
ranges.append(new_range)
# how many times to repeat the measurement for each data point
iterations = 2
# 150 ns in ticks, this is choosen to be high enough that transactions
# do not pile up in the system, adjust if needed
itt = 150 * 1000
# for every data point, we create a trace containing a random address
# sequence, so that we can play back the same sequence for warming and
# the actual measurement
def create_trace(filename, max_addr, burst_size, itt):
try:
proto_out = gzip.open(filename, 'wb')
except IOError:
print "Failed to open ", filename, " for writing"
exit(-1)
# write the magic number in 4-byte Little Endian, similar to what
# is done in src/proto/protoio.cc
proto_out.write("gem5")
# add the packet header
header = packet_pb2.PacketHeader()
header.obj_id = "lat_mem_rd for range 0:" + str(max_addr)
# assume the default tick rate (1 ps)
header.tick_freq = 1000000000000
protolib.encodeMessage(proto_out, header)
# create a list of every single address to touch
addrs = range(0, max_addr, burst_size)
import random
random.shuffle(addrs)
tick = 0
# create a packet we can re-use for all the addresses
packet = packet_pb2.Packet()
# ReadReq is 1 in src/mem/packet.hh Command enum
packet.cmd = 1
packet.size = int(burst_size)
for addr in addrs:
packet.tick = long(tick)
packet.addr = long(addr)
protolib.encodeMessage(proto_out, packet)
tick = tick + itt
proto_out.close()
# this will take a while, so keep the user informed
print "Generating traces, please wait..."
nxt_range = 0
nxt_state = 0
period = long(itt * (max_range / burst_size))
# now we create the states for each range
for r in ranges:
filename = os.path.join(m5.options.outdir,
'lat_mem_rd%d.trc.gz' % nxt_range)
if not options.reuse_trace:
# create the actual random trace for this range
create_trace(filename, r, burst_size, itt)
# the warming state
cfg_file.write("STATE %d %d TRACE %s 0\n" %
(nxt_state, period, filename))
nxt_state = nxt_state + 1
# the measuring states
for i in range(iterations):
cfg_file.write("STATE %d %d TRACE %s 0\n" %
(nxt_state, period, filename))
nxt_state = nxt_state + 1
nxt_range = nxt_range + 1
cfg_file.write("INIT 0\n")
# go through the states one by one
for state in range(1, nxt_state):
cfg_file.write("TRANSITION %d %d 1\n" % (state - 1, state))
cfg_file.write("TRANSITION %d %d 1\n" % (nxt_state - 1, nxt_state - 1))
cfg_file.close()
# create a traffic generator, and point it to the file we just created
system.tgen = TrafficGen(config_file = cfg_file_name,
progress_check = '10s')
# add a communication monitor
system.monitor = CommMonitor()
system.monitor.footprint = MemFootprintProbe()
# connect the traffic generator to the system
system.tgen.port = system.monitor.slave
# create the actual cache hierarchy, for now just go with something
# basic to explore some of the options
from common.Caches import *
# a starting point for an L3 cache
class L3Cache(Cache):
assoc = 16
hit_latency = 40
response_latency = 40
mshrs = 32
tgts_per_mshr = 12
write_buffers = 16
# note that everything is in the same clock domain, 2.0 GHz as
# specified above
system.l1cache = L1_DCache(size = '64kB')
system.monitor.master = system.l1cache.cpu_side
system.l2cache = L2Cache(size = '512kB', writeback_clean = True)
system.l2cache.xbar = L2XBar()
system.l1cache.mem_side = system.l2cache.xbar.slave
system.l2cache.cpu_side = system.l2cache.xbar.master
# make the L3 mostly exclusive, and correspondingly ensure that the L2
# writes back also clean lines to the L3
system.l3cache = L3Cache(size = '4MB', clusivity = 'mostly_excl')
system.l3cache.xbar = L2XBar()
system.l2cache.mem_side = system.l3cache.xbar.slave
system.l3cache.cpu_side = system.l3cache.xbar.master
system.l3cache.mem_side = system.membus.slave
# connect the system port even if it is not used in this example
system.system_port = system.membus.slave
# every period, dump and reset all stats
periodicStatDump(period)
# run Forrest, run!
root = Root(full_system = False, system = system)
root.system.mem_mode = 'timing'
m5.instantiate()
m5.simulate(nxt_state * period)
# print all we need to make sense of the stats output
print "lat_mem_rd with %d iterations, ranges:" % iterations
for r in ranges:
print r