| # Copyright (c) 2020 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 |
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| # 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 |
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| # (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 |
| |
| from __future__ import print_function |
| from __future__ import absolute_import |
| |
| import math |
| import optparse |
| |
| 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 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() |
| |
| hybrid_generators = { |
| "HYBRID" : lambda x: x.createHybrid, |
| } |
| |
| # Use a single-channel DDR3-1600 x64 (8x8 topology) by default |
| parser.add_option("--nvm-type", type="choice", default="NVM_2400_1x64", |
| choices=ObjectList.mem_list.get_names(), |
| help = "type of memory to use") |
| |
| parser.add_option("--mem-type", type="choice", default="DDR4_2400_16x4", |
| choices=ObjectList.mem_list.get_names(), |
| help = "type of memory to use") |
| |
| parser.add_option("--nvm-ranks", "-n", type="int", default=1, |
| help = "Number of ranks to iterate across") |
| |
| parser.add_option("--mem-ranks", "-r", type="int", default=2, |
| help = "Number of ranks to iterate across") |
| |
| parser.add_option("--rd-perc", type="int", default=100, |
| help = "Percentage of read commands") |
| |
| parser.add_option("--nvm-perc", type="int", default=100, |
| help = "Percentage of NVM commands") |
| |
| parser.add_option("--mode", type="choice", default="HYBRID", |
| choices=hybrid_generators.keys(), |
| help = "Hybrid: Random DRAM + NVM traffic") |
| |
| parser.add_option("--addr-map", type="choice", |
| choices=ObjectList.dram_addr_map_list.get_names(), |
| default="RoRaBaCoCh", help = "NVM address map policy") |
| |
| (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 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')) |
| |
| # set 2 ranges, the first, smaller range for DDR |
| # the second, larger (1024) range for NVM |
| # the NVM range starts directly after the DRAM range |
| system.mem_ranges = [AddrRange('128MB'), |
| AddrRange(Addr('128MB'), size ='1024MB')] |
| |
| # 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 |
| options.mem_channels = 1 |
| options.external_memory_system = 0 |
| options.hybrid_channel = True |
| MemConfig.config_mem(options, system) |
| |
| # the following assumes that we are using the native controller |
| # with NVM and DRAM interfaces, check to be sure |
| 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 first memory is a DRAMInterface subclass") |
| if not isinstance(system.mem_ctrls[0].nvm, m5.objects.NVMInterface): |
| fatal("This script assumes the second memory is a NVMInterface subclass") |
| |
| # there is no point slowing things down by saving any data |
| system.mem_ctrls[0].dram.null = True |
| system.mem_ctrls[0].nvm.null = True |
| |
| # Set the address mapping based on input argument |
| system.mem_ctrls[0].dram.addr_mapping = options.addr_map |
| system.mem_ctrls[0].nvm.addr_mapping = options.addr_map |
| |
| # stay in each state for 0.25 ms, long enough to warm things up, and |
| # short enough to avoid hitting a refresh |
| period = 250000000 |
| |
| # stay in each state as long as the dump/reset period, use the entire |
| # range, issue transactions of the right burst size, and match |
| # the maximum bandwidth to ensure that it is saturated |
| |
| # get the number of banks |
| nbr_banks_dram = system.mem_ctrls[0].dram.banks_per_rank.value |
| |
| # determine the burst length in bytes |
| burst_size_dram = 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 |
| page_size_dram = system.mem_ctrls[0].dram.devices_per_rank.value * \ |
| system.mem_ctrls[0].dram.device_rowbuffer_size.value |
| |
| # get the number of regions |
| nbr_banks_nvm = system.mem_ctrls[0].nvm.banks_per_rank.value |
| |
| # determine the burst length in bytes |
| burst_size_nvm = int((system.mem_ctrls[0].nvm.devices_per_rank.value * |
| system.mem_ctrls[0].nvm.device_bus_width.value * |
| system.mem_ctrls[0].nvm.burst_length.value) / 8) |
| |
| |
| burst_size = max(burst_size_dram, burst_size_nvm) |
| |
| # next, get the page size in bytes |
| buffer_size_nvm = system.mem_ctrls[0].nvm.devices_per_rank.value * \ |
| system.mem_ctrls[0].nvm.device_rowbuffer_size.value |
| |
| # match the maximum bandwidth of the memory, the parameter is in seconds |
| # and we need it in ticks (ps) |
| itt = min(system.mem_ctrls[0].dram.tBURST.value, |
| system.mem_ctrls[0].nvm.tBURST.value) * 1000000000000 |
| |
| # assume we start at 0 for DRAM |
| max_addr_dram = system.mem_ranges[0].end |
| min_addr_nvm = system.mem_ranges[1].start |
| max_addr_nvm = system.mem_ranges[1].end |
| |
| # use min of the page size and 512 bytes as that should be more than |
| # enough |
| max_stride = min(256, buffer_size_nvm, page_size_dram) |
| |
| # create a traffic generator, and point it to the file we just created |
| system.tgen = PyTrafficGen() |
| |
| # 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() |
| |
| def trace(): |
| addr_map = ObjectList.dram_addr_map_list.get(options.addr_map) |
| generator = hybrid_generators[options.mode](system.tgen) |
| for stride_size in range(burst_size, max_stride + 1, burst_size): |
| num_seq_pkts_dram = int(math.ceil(float(stride_size) / |
| burst_size_dram)) |
| num_seq_pkts_nvm = int(math.ceil(float(stride_size) / burst_size_nvm)) |
| yield generator(period, |
| 0, max_addr_dram, burst_size_dram, |
| min_addr_nvm, max_addr_nvm, burst_size_nvm, |
| int(itt), int(itt), |
| options.rd_perc, 0, |
| num_seq_pkts_dram, page_size_dram, |
| nbr_banks_dram, nbr_banks_dram, |
| num_seq_pkts_nvm, buffer_size_nvm, |
| nbr_banks_nvm, nbr_banks_nvm, |
| addr_map, options.mem_ranks, |
| options.nvm_ranks, options.nvm_perc) |
| |
| yield system.tgen.createExit(0) |
| |
| system.tgen.start(trace()) |
| |
| m5.simulate() |
| |
| print("Hybrid DRAM + NVM sweep with max_stride: %d" % (max_stride)) |
| print("NVM burst: %d, NVM banks: %d" % (burst_size_nvm, nbr_banks_nvm)) |
| print("DRAM burst: %d, DRAM banks: %d" % (burst_size_dram, nbr_banks_dram)) |
