config: Add a DRAM efficiency-sweep script

This patch adds a configuration that simplifies evaluation of DRAM
controller configurations by automating a sweep of stride size and
bank parallelism. It works in a rather unconventional way, as it needs
to print the traffic generator stimuli based on the memory
organisation. Hence, it starts by configuring the memory, then it
prints a traffic-generator config file, and loads it.

The resulting stats have one period per data point, identified by the
stride size, and the number of banks being used.
This commit is contained in:
Andreas Hansson 2014-03-23 11:12:00 -04:00
parent 364a51181e
commit 7d883df7e5

170
configs/dram/sweep.py Normal file
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# Copyright (c) 2014 ARM Limited
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# Authors: Andreas Hansson
import optparse
import m5
from m5.objects import *
from m5.util import addToPath
from m5.internal.stats import periodicStatDump
addToPath('../common')
import MemConfig
# this script is helpful to sweep the efficiency of a specific memory
# controller configuration, by varying the number of banks accessed,
# and the sequential stride size (how many bytes per activate), and
# observe what bus utilisation (bandwidth) is achieved
parser = optparse.OptionParser()
# Use a single-channel DDR3-1600 x64 by default
parser.add_option("--mem-type", type="choice", default="ddr3_1600_x64",
choices=MemConfig.mem_names(),
help = "type of memory to use")
(options, args) = parser.parse_args()
if args:
print "Error: script doesn't take any positional arguments"
sys.exit(1)
# at the moment we stay with the default open-adaptive page policy,
# and address mapping
# start with the system itself, using a multi-layer 1 GHz
# bus/crossbar, delivering 64 bytes / 5 cycles (one header cycle)
# which amounts to 12.8 GByte/s per layer and thus per port
system = System(membus = NoncoherentBus(width = 16))
system.clk_domain = SrcClockDomain(clock = '1GHz',
voltage_domain =
VoltageDomain(voltage = '1V'))
# we are fine with 256 MB memory for now
mem_range = AddrRange('256MB')
system.mem_ranges = [mem_range]
# force a single channel to match the assumptions in the DRAM traffic
# generator
options.mem_channels = 1
MemConfig.config_mem(options, system)
# the following assumes that we are using the native DRAM
# controller, check to be sure
if not isinstance(system.mem_ctrls[0], m5.objects.SimpleDRAM):
fatal("This script assumes the memory is a SimpleDRAM subclass")
# for now the generator assumes a single rank
system.mem_ctrls[0].ranks_per_channel = 1
# stay in each state for 0.25 ms, long enough to warm things up, and
# short enough to avoid hitting a refresh
period = 250000000
# this is where we go off piste, and print the traffic generator
# configuration that we will later use, crazy but it works
cfg_file_name = "configs/dram/sweep.cfg"
cfg_file = open(cfg_file_name, 'w')
# stay in each state as long as the dump/reset period, use the entire
# range, issue transactions of the right DRAM burst size, and match
# the DRAM maximum bandwidth to ensure that it is saturated
# get the number of banks
nbr_banks = system.mem_ctrls[0].banks_per_rank.value
# determine the burst length in bytes
burst_size = int((system.mem_ctrls[0].devices_per_rank.value *
system.mem_ctrls[0].device_bus_width.value *
system.mem_ctrls[0].burst_length.value) / 8)
# next, get the page size in bytes
page_size = system.mem_ctrls[0].devices_per_rank.value * \
system.mem_ctrls[0].device_rowbuffer_size.value
# match the maximum bandwidth of the memory, the parameter is in ns
# and we need it in ticks
itt = system.mem_ctrls[0].tBURST.value * 1000000000000
# assume we start at 0
max_addr = mem_range.end
# now we create the state by iterating over the stride size from burst
# size to min of the page size and 1 kB, and from using only a single
# bank up to the number of banks available
nxt_state = 0
for bank in range(1, nbr_banks + 1):
for stride_size in range(burst_size, min(1024, page_size) + 1, burst_size):
cfg_file.write("STATE %d %d DRAM 100 0 %d "
"%d %d %d %d %d %d %d %d 1\n" %
(nxt_state, period, max_addr, burst_size, itt, itt, 0,
stride_size, page_size, nbr_banks, bank))
nxt_state = nxt_state + 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)
# add a communication monitor
system.monitor = CommMonitor()
# connect the traffic generator to the bus via a communication monitor
system.tgen.port = system.monitor.slave
system.monitor.master = 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)