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# Copyright (c) 2014-2015, 2017, 2019 ARM Limited
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import argparse
import m5
from m5.objects import *
from m5.util import addToPath
from m5.stats import periodicStatDump
addToPath('../')
from common import ObjectList
from common import MemConfig
# This script aims at triggering low power state transitions in the DRAM
# controller. The traffic generator is used in DRAM mode and traffic
# states target a different levels of bank utilization and strides.
# At the end after sweeping through bank utilization and strides, we go
# through an idle state with no requests to enforce self-refresh.
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# Use a single-channel DDR4-2400 in 16x4 configuration by default
parser.add_argument("--mem-type", default="DDR4_2400_16x4",
choices=ObjectList.mem_list.get_names(),
help = "type of memory to use")
parser.add_argument("--mem-ranks", "-r", type=int, default=1,
help = "Number of ranks to iterate across")
parser.add_argument("--page-policy", "-p",
choices=["close_adaptive", "open_adaptive"],
default="close_adaptive", help="controller page policy")
parser.add_argument("--itt-list", "-t", default="1 20 100",
help="a list of multipliers for the max value of itt, " \
"e.g. \"1 20 100\"")
parser.add_argument("--rd-perc", type=int, default=100,
help = "Percentage of read commands")
parser.add_argument("--addr-map",
choices=m5.objects.AddrMap.vals,
default="RoRaBaCoCh", help = "DRAM address map policy")
parser.add_argument("--idle-end", type=int, default=50000000,
help = "time in ps of an idle period at the end ")
args = parser.parse_args()
# Start with 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 = IOXBar(width = 32))
system.clk_domain = SrcClockDomain(clock = '2.0GHz',
voltage_domain =
VoltageDomain(voltage = '1V'))
system.workload = SEWorkload()
# We are fine with 256 MB memory for now.
mem_range = AddrRange('256MB')
# Start address is 0
system.mem_ranges = [mem_range]
# Do not worry about reserving space for the backing store
system.mmap_using_noreserve = True
# Force a single channel to match the assumptions in the DRAM traffic
# generator
args.mem_channels = 1
args.external_memory_system = 0
args.tlm_memory = 0
args.elastic_trace_en = 0
MemConfig.config_mem(args, system)
# Sanity check for memory controller class.
if not isinstance(system.mem_ctrls[0], m5.objects.MemCtrl):
fatal("This script assumes the controller is a MemCtrl subclass")
if not isinstance(system.mem_ctrls[0].dram, m5.objects.DRAMInterface):
fatal("This script assumes the memory is a DRAMInterface subclass")
# There is no point slowing things down by saving any data.
system.mem_ctrls[0].dram.null = True
# enable DRAM low power states
system.mem_ctrls[0].dram.enable_dram_powerdown = True
# Set the address mapping based on input argument
system.mem_ctrls[0].dram.addr_mapping = args.addr_map
system.mem_ctrls[0].dram.page_policy = args.page_policy
# We create a traffic generator state for each param combination we want to
# test. Each traffic generator state is specified in the config file and the
# generator remains in the state for specific period. This period is 0.25 ms.
# Stats are dumped and reset at the state transition.
period = 250000000
# We specify the states in a config file input to the traffic generator.
cfg_file_name = "lowp_sweep.cfg"
cfg_file_path = os.path.dirname(__file__) + "/" +cfg_file_name
cfg_file = open(cfg_file_path, 'w')
# Get the number of banks
nbr_banks = int(system.mem_ctrls[0].dram.banks_per_rank.value)
# determine the burst size in bytes
burst_size = int((system.mem_ctrls[0].dram.devices_per_rank.value *
system.mem_ctrls[0].dram.device_bus_width.value *
system.mem_ctrls[0].dram.burst_length.value) / 8)
# next, get the page size in bytes (the rowbuffer size is already in bytes)
page_size = system.mem_ctrls[0].dram.devices_per_rank.value * \
system.mem_ctrls[0].dram.device_rowbuffer_size.value
# Inter-request delay should be such that we can hit as many transitions
# to/from low power states as possible to. We provide a min and max itt to the
# traffic generator and it randomises in the range. The parameter is in
# seconds and we need it in ticks (ps).
itt_min = system.mem_ctrls[0].dram.tBURST.value * 1000000000000
#The itt value when set to (tRAS + tRP + tCK) covers the case where
# a read command is delayed beyond the delay from ACT to PRE_PDN entry of the
# previous command. For write command followed by precharge, this delay
# between a write and power down entry will be tRCD + tCL + tWR + tRP + tCK.
# As we use this delay as a unit and create multiples of it as bigger delays
# for the sweep, this parameter works for reads, writes and mix of them.
pd_entry_time = (system.mem_ctrls[0].dram.tRAS.value +
system.mem_ctrls[0].dram.tRP.value +
system.mem_ctrls[0].dram.tCK.value) * 1000000000000
# We sweep itt max using the multipliers specified by the user.
itt_max_str = args.itt_list.strip().split()
itt_max_multiples = [ int(x) for x in itt_max_str ]
if len(itt_max_multiples) == 0:
fatal("String for itt-max-list detected empty\n")
itt_max_values = [ pd_entry_time * m for m in itt_max_multiples ]
# Generate request addresses in the entire range, assume we start at 0
max_addr = mem_range.end
# For max stride, use min of the page size and 512 bytes as that should be
# more than enough
max_stride = min(512, page_size)
mid_stride = 4 * burst_size
stride_values = [burst_size, mid_stride, max_stride]
# be selective about bank utilization instead of going from 1 to the number of
# banks
bank_util_values = [1, int(nbr_banks/2), nbr_banks]
# Next we create the config file, but first a comment
cfg_file.write("""# STATE state# period mode=DRAM
# read_percent start_addr end_addr req_size min_itt max_itt data_limit
# stride_size page_size #banks #banks_util addr_map #ranks\n""")
addr_map = m5.objects.AddrMap.map[args.addr_map]
nxt_state = 0
for itt_max in itt_max_values:
for bank in bank_util_values:
for stride_size in stride_values:
cfg_file.write("STATE %d %d %s %d 0 %d %d "
"%d %d %d %d %d %d %d %d %d\n" %
(nxt_state, period, "DRAM", args.rd_perc, max_addr,
burst_size, itt_min, itt_max, 0, stride_size,
page_size, nbr_banks, bank, addr_map,
args.mem_ranks))
nxt_state = nxt_state + 1
# State for idle period
idle_period = args.idle_end
cfg_file.write("STATE %d %d IDLE\n" % (nxt_state, idle_period))
# Init state is state 0
cfg_file.write("INIT 0\n")
# Go through the states one by one
for state in range(1, nxt_state + 1):
cfg_file.write("TRANSITION %d %d 1\n" % (state - 1, state))
# Transition from last state to itself to not break the probability math
cfg_file.write("TRANSITION %d %d 1\n" % (nxt_state, nxt_state))
cfg_file.close()
# create a traffic generator, and point it to the file we just created
system.tgen = TrafficGen(config_file = cfg_file_path)
# 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)
root = Root(full_system = False, system = system)
root.system.mem_mode = 'timing'
m5.instantiate()
# Simulate for exactly as long as it takes to go through all the states
# This is why sim exists.
m5.simulate(nxt_state * period + idle_period)
print("--- Done DRAM low power sweep ---")
print("Fixed params - ")
print("\tburst: %d, banks: %d, max stride: %d, itt min: %s ns" % \
(burst_size, nbr_banks, max_stride, itt_min))
print("Swept params - ")
print("\titt max multiples input:", itt_max_multiples)
print("\titt max values", itt_max_values)
print("\tbank utilization values", bank_util_values)
print("\tstride values:", stride_values)
print("Traffic gen config file:", cfg_file_name)