https://github.com/proxystore/taps

Benchmarking suite for distributed/parallel task executors
https://github.com/proxystore/taps

Last synced: 4 months ago
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Benchmarking suite for distributed/parallel task executors

• Host: GitHub
• URL: https://github.com/proxystore/taps
• Owner: proxystore
• License: mit
• Created: 2024-05-03T18:44:22.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2026-02-16T20:32:50.000Z (4 months ago)
• Last Synced: 2026-02-17T02:53:53.776Z (4 months ago)
• Language: Python
• Homepage: https://taps.proxystore.dev/
• Size: 11.1 MB
• Stars: 12
• Watchers: 2
• Forks: 6
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md
  • Security: .github/SECURITY.md

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README

          
# TaPS: Task Performance Suite

[![docs](https://github.com/proxystore/taps/actions/workflows/docs.yml/badge.svg)](https://github.com/proxystore/taps/actions)

[![tests](https://github.com/proxystore/taps/actions/workflows/tests.yml/badge.svg)](https://github.com/proxystore/taps/actions)

[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/proxystore/taps/main.svg)](https://results.pre-commit.ci/latest/github/proxystore/taps/main)

TaPS is a standardized framework for evaluating task-based execution frameworks and data management systems using a suite a real and synthetic scientific applications.

TaPS provides:

* A framework for writing benchmark applications and a plugin system for evaluating arbitrary task executors and data management systems.

* A suite of benchmark applications spanning domains like linear algebra, drug discovery, machine learning, text analysis, molecular design, and astronomy.

* Support for popular task execution frameworks ([Dask Distributed](https://distributed.dask.org/), [Globus Compute](https://www.globus.org/compute), [Parsl](https://parsl-project.org/), [Ray](https://www.ray.io/)) and data management systems ([ProxyStore](https://docs.proxystore.dev)).

Check out the [Get Started Guide](https://taps.proxystore.dev/latest/get-started/) to learn more.

## Citation

If you use TaPS or any of this code in your work, please cite our [eScience 2024 Best Paper](https://ieeexplore.ieee.org/document/10678702). The preprint is available on [arXiv](https://arxiv.org/abs/2408.07236).

```bibtex

@inproceedings{pauloski2024taps,

    author = {Pauloski, J. Gregory and Hayot-Sasson, Valerie and Gonthier, Maxime and Hudson, Nathaniel and Pan, Haochen and Zhou, Sicheng and Foster, Ian and Chard, Kyle},

    title = {{TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks}},

    address = {New York, NY, USA},

    booktitle = {IEEE 20th International Conference on e-Science},

    doi = {10.1109/e-Science62913.2024.10678702},

    pages = {1-10},

    publisher = {IEEE},

    year = {2024}

}

```