Releases: smarr/ReBench
1.2.0 Custom Gauge Adapters - 2023-08-06
The main feature of this release is the new support for custom gauge adapters. This allows the use of a Python file from the ReBench config, which can parse arbitrary output from a benchmark, see #209.
Furthermore, ReBench dropped support for Python 2. If you require ReBench to run with Python 2, please see #208 for the removed supported code, or use version 1.1.0, which was the last version with Python 2 support.
Other new features:
- add command-line option
-D
to disable the use of denoise (#217) - include CSV headers into .data files (#220, #227)
- abort all benchmarks for which the exector is missing (#224)
- make the current invocation accessible in the command as
%(invocation)s
(#230)
Other changes:
- fix bug where
'None'
instead ofnull
was reported to ReBenchDB (#232) - fix handling of environment variables when sudo is used (#210)
- try
gtime
from MacPorts as alternativetime
command on macOS (#212) - update py-cpuinfo to work on macOS with ARM-base CPUs (#212)
- make error more readable when executor is not available (#213)
- add testing on macOS on Github Actions (#226)
Thanks to @naomiGrew for the contributions!
1.1.0 Denoise - 2023-02-21
This release focuses on reducing the noise from the system (#143, #144).
For this purpose, it introduces the rebench-denoise
tool, which will adapt
system parameters to:
- change CPU governor to the performance setting
- disables turbo boost
- reduces the sampling frequency allowed by the kernel
- execute benchmarks with CPU shielding and
nice -n-20
rebench-denoise
can also be used as stand-alone tool, is documented here:
https://rebench.readthedocs.io/en/latest/denoise/
The use of rebench-denoise
will require root rights.
Other new features include:
- add support for configuring environment variables (#174)
- add support for recording profiling information (#190)
- add support for printing the execution plan without running it (#171)
- add marker in configuration to make setting important, which overrides
previous settings, giving more flexibility in composing
configuration values (#170) - add support for filtering experiments by machines (#161)
Thanks to @tobega, @qinsoon, @cmccandless, @OctaveLarose, and @raehik for their contributions.
Other notable improvements:
-R
now disables data reporting, replacing the previous-S
(#145)- added support to report experiment completion to ReBenchDB (#149)
- fixed JMH support (#147)
- fixed string/byte encoding issues between Python 2 and 3 (#142)
- updated py-cpuinfo (#137, #138, #141)
- allow the use of float values in the ReBenchLogAdapter parser (#201)
- make gauge adapter names in configurations case-insensitive (#202)
- improve documentation (#197, #198)
- use PyTest for unit tests (#192)
Full Changelog: v1.0.1...v1.1.0
1.0.1 - 2020-06-23
1.0.0 Foundations
This is the first official release of ReBench as a "feature-complete" product.
Feature-complete here means, it is a tried and tested tool for benchmark
execution. It is highly configurable, documented, and successfully used.
This 1.0 release does not signify any new major features, but instead marks a
point where ReBench has been stable and relieable for a long time.
ReBench is designed to
- enable reproduction of experiments;
- document all benchmark parameters;
- provide a flexible execution model,
with support for interrupting and continuing benchmarking; - enable the definition of complex sets of comparisons
and their flexible execution; - report results to continuous performance monitoring systems,
e.g., Codespeed or ReBenchDB; - provide basic support for building/compiling benchmarks/experiments
on demand; - be extensible to parse output of custom benchmark harnesses.
ReBench isn't
- a framework for microbenchmarks.
Instead, it relies on existing harnesses and can be extended to parse their
output. - a performance analysis tool. It is meant to execute experiments and
record the corresponding measurements. - a data analysis tool. It provides only a bare minimum of statistics,
but has an easily parseable data format that can be processed, e.g., with R.
To use ReBench, install it with Python's pip:
pip install rebench
Acknowledgements
ReBench has been used by a number of people over the years, and their feedback and contributions made it what it is today. Not all of these contributions are recorded, but I'd still like to thank everyone, from the anonymous reviewer of artifacts, to the students who had to wade through bugs and missing documentation.
Thank you!
Changes Since 1.0rc2
1.0 Release Candidate 2
-
added
--setup-only
option, to run one benchmark for each setup (#110, #115) -
added
ignore_timeout
setting to accept known timeouts without error (#118) -
fixed data loading, which ignored warmup setting (#111, #116)
-
fixed how settings are inherited for follow documentation (#112, #113)
-
fixed message for consecutive failures (#109)
-
fixed some reporting issues (#106)
1.0 Release Candidate 1
- made user interface more consistent and concise (#83, #85, #92, #101, #102)
- added concept of iterations/invocations (#82, #87)
- added executor and suite name as command variables (#95, #101)
- added and improved support for building suites before execution (#59, #78, #84, #96)
- revised configuration format to me more consistent and add schema (#74, #82, #66, #94, #101)
- fixed memory usage, avoid running out of memory for large experiments (#103)
- added support to verify parameter and config file (#104)
- added documentation (#66, #101)
- use PyLint (#79)
Bug fix release 2018-06-08
- fix experiment filters and reporting on codespeed submission errors (#77)