Program autotuning has been demonstrated in many domains to achieve better or more portable performance. However, autotuners themselves are often not very portable between projects because using a domain informed search space representation is critical to achieving good results and because no single search technique performs best for all problems.
OpenTuner is a new framework for building domain-specific multi-objective program autotuners. OpenTuner supports fully customizable configuration representations, an extensible technique representation to allow for domain-specific techniques, and an easy to use interface for communicating with the tuned program. A key capability inside OpenTuner is the use of ensembles of disparate search techniques simultaneously, techniques which perform well will receive larger testing budgets and techniques which perform poorly will be disabled.
System dependencies
A list of system dependencies can be found in debian-packages-deps which are primarily python 2.6+ (not 3.x) and sqlite3 (or your supported database backend of choice).
On Ubuntu/Debian there can be installed with:
sudo apt-get install `cat debian-packages-deps | tr '\n' ' '`
Installation
OpenTuner (and dependencies) can be installed with
sudo pip install opentuner
or
pip install --user opentuner
This will not install any of the example programs.
Development installation
For development (running OpenTuner out of a git checkout), a list of python dependencies can be found in requirements.txt these can be installed system-wide with pip.
sudo apt-get install python-pip sudo pip install -r requirements.txt
Or you can use virtual env to create a isolated python environment by running:
python ./venv-bootstrap.py
which will create a ./venv/bin/python (./venv/Scripts/python.exe on windows) with all the required packages installed.
Checking Installation
Quickly checking that a successful installation has been made, may be performed by running an example program such as:
./examples/rosenbrock/rosenbrock.py
Tutorials
Papers
OpenTuner: An Extensible Framework for Program Autotuning. Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O’Reilly, Saman Amarasinghe. International Conference on Parallel Architectures and Compilation Techniques. Edmonton, Canada. August, 2014. Slides. Bibtex.
Contributing Code
The preferred way to contribute code to OpenTuner is to fork the project on github and submit a pull request.
Support
OpenTuner is supported in part by the United States Department of Energy X-Stack program as part of D-TEC.
1 maintainer
Metadata
1 maintainer
Release files for opentuner 0.8.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opentuner-0.8.5.tar.gz | 68.9 kB | Details |
Release files / opentuner-0.8.5.tar.gz
| Download URL | opentuner-0.8.5.tar.gz |
|---|---|
| Size | 68.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7db3eea66f0308e585075cb4f2cceb7456a45d94badd03c17d76c3b3f2d790e3
|
|
BLAKE2b-256 checksum How to use checksums |
2a10a9ca349561c2576db644da561a6ad3eed299258b239ba94eb3c28279a99e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.8
|
