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, Globus Compute, Parsl, Ray) and data management systems (ProxyStore).
Check out the Get Started Guide to learn more.
If you use TaPS or any of this code in your work, please cite our eScience 2024 Best Paper. The preprint is available on arXiv.
@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}
}