# Copyright 2013-2015 ARM Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # pylint: disable=E1101,W0201 import os import re from wa import Workload, Parameter, Executable THIS_DIR = os.path.dirname(__file__) RESULT_REGEX = re.compile('Total time: ([\d.]+) s.*Bandwidth: ([\d.]+) MB/s', re.S) class Memcpy(Workload): name = 'memcpy' description = """ Runs memcpy in a loop. This will run memcpy in a loop for a specified number of times on a buffer of a specified size. Additionally, the affinity of the test can be set to one or more specific cores. This workload is single-threaded. It genrates no scores or metrics by itself. """ parameters = [ Parameter('buffer_size', kind=int, default=1024 * 1024 * 5, description=''' Specifies the size, in bytes, of the buffer to be copied. '''), Parameter('iterations', kind=int, default=1000, description=''' Specfies the number of iterations that will be performed. '''), Parameter('cpus', kind=list, description=''' A list of integers specifying ordinals of cores to which the affinity of the test process should be set. If not specified, all avaiable cores will be used. '''), ] def initialize(self, context): self.binary_name = 'memcpy' resource = Executable(self, self.target.abi, self.binary_name) host_binary = context.resolver.get(resource) Memcpy.target_exe = self.target.install_if_needed(host_binary) def setup(self, context): self.command = '{} -i {} -s {}'.format(self.target_exe, self.iterations, self.buffer_size) for c in (self.cpus or []): self.command += ' -c {}'.format(c) self.result = None def run(self, context): self.result = self.target.execute(self.command, timeout=300) def extract_results(self, context): if self.result: match = RESULT_REGEX.search(self.result) context.add_metric('time', float(match.group(1)), 'seconds', lower_is_better=True) context.add_metric('bandwidth', float(match.group(2)), 'MB/s')