Hello,\ I would like to simulate hybrid memory through gem5,\ but when I execute the file configs/nvm/sweep_hybrid.py,\ I get the following message : Attribute reference on bound proxy (Parent.clk_domain.getValue)\ attachment is my code
Thanks, best regards.
# 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 # 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. import argparse import math import m5 from m5.objects import * from m5.stats import periodicStatDump from m5.util import addToPath addToPath("../") from common import ( MemConfig, ObjectList, ) # 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 = argparse.ArgumentParser() hybrid_generators = {"HYBRID": lambda x: x.createHybrid} # Use a single-channel DDR3-1600 x64 (8x8 topology) by default parser.add_argument( "--nvm-type", default="NVM_2400_1x64", choices=ObjectList.mem_list.get_names(), help="type of memory to use", ) parser.add_argument( "--mem-type", default="DDR4_2400_16x4", choices=ObjectList.mem_list.get_names(), help="type of memory to use", ) parser.add_argument( "--nvm-ranks", "-n", type=int, default=1, help="Number of ranks to iterate across", ) parser.add_argument( "--mem-ranks", "-r", type=int, default=2, help="Number of ranks to iterate across", ) parser.add_argument( "--rd-perc", type=int, default=100, help="Percentage of read commands" ) parser.add_argument( "--nvm-perc", type=int, default=100, help="Percentage of NVM commands" ) parser.add_argument( "--mode", default="HYBRID", choices=hybrid_generators.keys(), help="Hybrid: Random DRAM + NVM traffic", ) parser.add_argument( "--addr-map", choices=ObjectList.dram_addr_map_list.get_names(), default="RoRaBaCoCh", help="NVM address map policy", ) args = parser.parse_args() # 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 args.mem_channels = 1 args.external_memory_system = 0 args.hybrid_channel = True MemConfig.config_mem(args, system) system.mem_ctrls[0] = HeteroMemCtrl() system.mem_ctrls[0].dram = DDR4_2400_16x4() system.mem_ctrls[0].dram.range = system.mem_ranges[0] system.mem_ctrls[0].nvm = NVM_2400_1x64() system.mem_ctrls[0].nvm.range = system.mem_ranges[1] print("[LOG INFO] 1") # 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.HeteroMemCtrl): fatal("This script assumes the controller is a HeteroMemCtrl 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") print("[LOG INFO] 2") # 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 = args.addr_map system.mem_ctrls[0].nvm.addr_mapping = args.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 print("[LOG INFO] 3") # 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.cpu_side_port system.monitor.mem_side_port = system.membus.cpu_side_ports # connect the system port even if it is not used in this example system.system_port = system.membus.cpu_side_ports # every period, dump and reset all stats periodicStatDump(period) # run Forrest, run! root = Root(full_system=False, system=system) root.system.mem_mode = "timing" print("[LOG INFO] 4") m5.instantiate() def trace(): addr_map = ObjectList.dram_addr_map_list.get(args.addr_map) generator = hybrid_generators[args.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), args.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, args.mem_ranks, args.nvm_ranks, args.nvm_perc, ) yield system.tgen.createExit(0) system.tgen.start(trace()) print("[LOG INFO] 5") 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))
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