Jones George, Wakefield Amanda E, Triplett Jeff, Idrissa Kojo, Goebel James, Kozakov Dima, Vajda Sandor
Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, USA.
Department of Chemistry, Boston University, Boston, USA.
J Softw Eng Appl. 2022 Jun;15(6):197-207. doi: 10.4236/jsea.2022.156011. Epub 2022 Jun 29.
Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University's Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work.
在过去几十年里，计算资源的增加极大地推动了科学与工程（S&E）的进步。为了继续快速发展，S&E 社区必须能够访问计算资源。提供此类资源的一种方式是通过高性能计算（HPC）中心。许多学术研究机构都有自己的 HPC 中心，但在使计算资源易于访问和用户友好方面存在困难。在此，我们展示 SHABU，这是一个 RESTful Web API 框架，它使 S&E 社区能够从波士顿大学共享计算中心（SCC）访问资源。SHABU 的需求源自本工作中描述的用例。
