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API Development Increases Access to Shared Computing Resources at Boston University.

George Jones¹, Amanda E Wakefield^2,3, Jeff Triplett⁴

¹Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, USA.

Journal of Software Engineering and Applications

|December 26, 2022

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This summary is machine-generated.

Boston University

Area of Science:

Scientific computing
High-Performance Computing (HPC)

Background:

Computational resources are vital for scientific progress.
Academic High-Performance Computing (HPC) centers often face accessibility and usability challenges.

Purpose of the Study:

To present SHABU, a RESTful Web API framework.
To enhance access to Boston University's Shared Computing Center (SCC) resources for science and engineering (S & E) communities.

Main Methods:

Developed a RESTful Web API framework named SHABU.
Derived requirements from specific use cases within the S & E community.

Main Results:

SHABU provides a framework for accessing HPC resources.
The framework aims to improve user-friendliness and accessibility of computing resources.

Keywords:

API Framework High-Performance Computing Open Source Science and Engineering Software Architecture

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Conclusions:

SHABU offers a solution to improve the accessibility of academic HPC resources.
The framework supports the continued advancement of science and engineering through better resource utilization.