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workloads: add lmbench

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Add a workload for lat_mem_rd and bw_mem tests of LMbench benchmark, a suite of
portable ANSI/C microbenchmarks for UNIX/POSIX.

This is a port of corresponding workload from WA2.
This commit is contained in:
scott
2018-06-20 13:02:11 +01:00
committed by Marc Bonnici
parent 687d09cd53
commit 29174912dd
8 changed files with 624 additions and 0 deletions
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160
wa/workloads/lmbench/__init__.py Executable file
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# Copyright 2015-2016 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
from wa import Workload, Parameter, Executable
from wa.utils.types import list_or_integer, list_or_string
from wa.utils.types import cpu_mask
class Lmbench(Workload):
name = 'lmbench'
# Define supported tests. Each requires a _setup_{name} routine below
test_names = ['lat_mem_rd', 'bw_mem']
description = """
Run a subtest from lmbench, a suite of portable ANSI/C microbenchmarks for
UNIX/POSIX.
In general, lmbench measures two key features: latency and bandwidth. This
workload supports a subset of lmbench tests. lat_mem_rd can be used to
measure latencies to memory (including caches). bw_mem can be used to
measure bandwidth to/from memory over a range of operations.
Further details, and source code are available from:
http://sourceforge.net/projects/lmbench/.
See lmbench/bin/README for license details.
"""
parameters = [
Parameter('test', default='lat_mem_rd', allowed_values=test_names,
description='''
Specifies an lmbench test to run.
'''),
Parameter('stride', kind=list_or_integer, default=[128],
description='''
Stride for lat_mem_rd test. Workload will iterate over one or
more integer values.
'''),
Parameter('thrash', kind=bool, default=True,
description='Sets -t flag for lat_mem_rd_test'),
Parameter('size', kind=list_or_string, default="4m",
description='Data set size for lat_mem_rd bw_mem tests.'),
Parameter('mem_category', kind=list_or_string,
default=('rd', 'wr', 'cp', 'frd', 'fwr', 'fcp', 'bzero', 'bcopy'),
description='List of memory catetories for bw_mem test.'),
Parameter('parallelism', kind=int, default=None,
description='Parallelism flag for tests that accept it.'),
Parameter('warmup', kind=int, default=None,
description='Warmup flag for tests that accept it.'),
Parameter('repetitions', kind=int, default=None,
description='Repetitions flag for tests that accept it.'),
Parameter('force_abi', kind=str, default=None,
description='''
Override device abi with this value. Can be used to force
arm32 on 64-bit devices.
'''),
Parameter('run_timeout', kind=int, default=900,
description="""
Timeout for execution of the test.
"""),
Parameter('loops', kind=int, default=1, constraint=lambda x: x > 0,
description="""
Specifies the number of times the benchmark will be run in a
"tight loop", i.e. without performaing setup/teardown
inbetween. This parameter is distinct from "repetitions", as
the latter takes place within the benchmark and produces a
single result.
"""),
Parameter('cpus', kind=cpu_mask, default=0, aliases=['taskset_mask'],
description="""
Specifies the CPU mask the benchmark process will be pinned to.
"""),
]
def setup(self, context):
abi = self.target.abi
if self.force_abi:
abi = self.force_abi
# self.test has been pre-validated, so this _should_ only fail if there's an abi mismatch
host_exe = context.resolver.get(Executable(self, abi, self.test))
self.target_exe = self.target.install(host_exe)
self.commands = []
setup_test = getattr(self, '_setup_{}'.format(self.test))
setup_test()
for _ in range(self.loops):
for command in self.commands:
self.target.execute(command, timeout=self.run_timeout)
def extract_results(self, context):
results_path = self.target.get_workpath("lmbench.output")
result_file = self.target.list_directory(results_path)[-1]
self.result_file = result_file.rstrip()
result = self.target.path.join(results_path, result_file)
self.target.pull(result, context.output_directory)
context.add_artifact('lmbench-result', "lmbench.output", kind='raw')
def teardown(self, context):
self.target.uninstall_executable(self.test)
#
# Test setup routines
#
def _setup_lat_mem_rd(self):
target_file = self.target.get_workpath('lmbench.output')
self.target.execute('rm -f {}'.format(target_file))
command_stub = self._setup_common()
if self.thrash:
command_stub = '{} -t'.format(command_stub)
for size in self.size:
command = '{} {}'.format(command_stub, size)
for stride in self.stride:
self.commands.append('{} {} >> {} 2>&1'.format(command, stride, target_file))
def _setup_bw_mem(self):
target_file = self.target.get_workpath('lmbench.output')
self.target.execute('rm -f {}'.format(target_file))
command_stub = self._setup_common()
for size in self.size:
command = '{} {}'.format(command_stub, size)
for category in self.mem_category:
self.commands.append('{} {} >> {} 2>&1'.format(command, category, target_file))
def _setup_common(self):
parts = []
if self.cpus:
parts.append('{} taskset {} {}'.format(self.target.busybox,
self.cpus.mask(),
self.target_exe))
else:
parts.append(self.target_exe)
if self.parallelism is not None:
parts.append('-P {}'.format(self.parallelism))
if self.warmup is not None:
parts.append('-W {}'.format(self.warmup))
if self.repetitions is not None:
parts.append('-N {}'.format(self.repetitions))
return ' '.join(parts) + ' '

339
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%M% %I% %E%
The set of programs and documentation known as "lmbench" are distributed
under the Free Software Foundation's General Public License with the
following additional restrictions (which override any conflicting
restrictions in the GPL):
1. You may not distribute results in any public forum, in any publication,
or in any other way if you have modified the benchmarks.
2. You may not distribute the results for a fee of any kind. This includes
web sites which generate revenue from advertising.
If you have modifications or enhancements that you wish included in
future versions, please mail those to me, Larry McVoy, at lm@bitmover.com.
=========================================================================
Rationale for the publication restrictions:
In summary:
a) LMbench is designed to measure enough of an OS that if you do well in
all catagories, you've covered latency and bandwidth in networking,
disks, file systems, VM systems, and memory systems.
b) Multiple times in the past people have wanted to report partial results.
Without exception, they were doing so to show a skewed view of whatever
it was they were measuring (for example, one OS fit small processes into
segments and used the segment register to switch them, getting good
results, but did not want to report large process context switches
because those didn't look as good).
c) We insist that if you formally report LMbench results, you have to
report all of them and make the raw results file easily available.
Reporting all of them means in that same publication, a pointer
does not count. Formally, in this context, means in a paper,
on a web site, etc., but does not mean the exchange of results
between OS developers who are tuning a particular subsystem.
We have a lot of history with benchmarking and feel strongly that there
is little to be gained and a lot to be lost if we allowed the results
to be published in isolation, without the complete story being told.
There has been a lot of discussion about this, with people not liking this
restriction, more or less on the freedom principle as far as I can tell.
We're not swayed by that, our position is that we are doing the right
thing for the OS community and will stick to our guns on this one.
It would be a different matter if there were 3 other competing
benchmarking systems out there that did what LMbench does and didn't have
the same reporting rules. There aren't and as long as that is the case,
I see no reason to change my mind and lots of reasons not to do so. I'm
sorry if I'm a pain in the ass on this topic, but I'm doing the right
thing for you and the sooner people realize that the sooner we can get on
to real work.
Operating system design is a largely an art of balancing tradeoffs.
In many cases improving one part of the system has negative effects
on other parts of the system. The art is choosing which parts to
optimize and which to not optimize. Just like in computer architecture,
you can optimize the common instructions (RISC) or the uncommon
instructions (CISC), but in either case there is usually a cost to
pay (in RISC uncommon instructions are more expensive than common
instructions, and in CISC common instructions are more expensive
than required). The art lies in knowing which operations are
important and optmizing those while minimizing the impact on the
rest of the system.
Since lmbench gives a good overview of many important system features,
users may see the performance of the system as a whole, and can
see where tradeoffs may have been made. This is the driving force
behind the publication restriction: any idiot can optimize certain
subsystems while completely destroying overall system performance.
If said idiot publishes *only* the numbers relating to the optimized
subsystem, then the costs of the optimization are hidden and readers
will mistakenly believe that the optimization is a good idea. By
including the publication restriction readers would be able to
detect that the optimization improved the subsystem performance
while damaging the rest of the system performance and would be able
to make an informed decision as to the merits of the optimization.
Note that these restrictions only apply to *publications*. We
intend and encourage lmbench's use during design, development,
and tweaking of systems and applications. If you are tuning the
linux or BSD TCP stack, then by all means, use the networking
benchmarks to evaluate the performance effects of various
modifications; Swap results with other developers; use the
networking numbers in isolation. The restrictions only kick
in when you go to *publish* the results. If you sped up the
TCP stack by a factor of 2 and want to publish a paper with the
various tweaks or algorithms used to accomplish this goal, then
you can publish the networking numbers to show the improvement.
However, the paper *must* also include the rest of the standard
lmbench numbers to show how your tweaks may (or may not) have
impacted the rest of the system. The full set of numbers may
be included in an appendix, but they *must* be included in the
paper.
This helps protect the community from adopting flawed technologies
based on incomplete data. It also helps protect the community from
misleading marketing which tries to sell systems based on partial
(skewed) lmbench performance results.
We have seen many cases in the past where partial or misleading
benchmark results have caused great harm to the community, and
we want to ensure that our benchmark is not used to perpetrate
further harm and support false or misleading claims.

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This directory contains a subset of lmbench tests supported by Workload Automation.
The binaries are provided under the terms of the GNU General Public License, Version 2,
consistent with lmbench's additional restrictions.
Refer to COPYING and COPYING-2 files for details.
The binaries were built from lmbench-3.0-a9 source code, available publically from
http://sourceforge.net/projects/lmbench/, specifically
http://sourceforge.net/projects/lmbench/files/development/
The binaries provided here are built and statically linked with the stable
Linaro GNU 4.9 toolchain from November 2014.
Source available from:
http://releases.linaro.org/14.11/components/toolchain/gcc-linaro/4.9
Binaries available from:
https://releases.linaro.org/14.11/components/toolchain/binaries/aarch64-linux-gnu
https://releases.linaro.org/14.11/components/toolchain/binaries/arm-linux-gnueabihf

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