SEApr 5, 2019

RADICAL-Cybertools: Middleware Building Blocks for Scalable Science

arXiv:1904.03085v121 citations
Originality Synthesis-oriented
AI Analysis

It addresses the problem of scalable scientific computing for researchers in fields such as biophysics and climate science, but it is incremental as it builds on existing middleware concepts.

The paper introduces RADICAL-Cybertools (RCT), a middleware system for developing scalable scientific computing tools, enabling many-task applications across diverse infrastructures and supporting domains like biophysics and climate science with hundreds of millions of core hours.

RADICAL-Cybertools (RCT) are a set of software systems that serve as middleware to develop efficient and effective tools for scientific computing. Specifically, RCT enable executing many-task applications at extreme scale and on a variety of computing infrastructures. RCT are building blocks, designed to work as stand-alone systems, integrated among themselves or integrated with third-party systems. RCT enables innovative science in multiple domains, including but not limited to biophysics, climate science and particle physics, consuming hundreds of millions of core hours. This paper provides an overview of RCT systems, their impact, and the architectural principles and software engineering underlying RCT

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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