RADICAL-Cybertools: Middleware Building Blocks for Scalable Science
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Abstract (arXiv)
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
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Apr 2019.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 2; 2024: 0; 2025: 1.
6 papers.
- 2021Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computingcited by 10
- 2021Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulationscited by 8
- 2021Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computerscited by 7
- 2023High Throughput Training of Deep Surrogates from Large Ensemble Runscited by 3
- 2023Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resourcescited by 2
- 2025Adaptive Protein Design Protocols and Middlewarecited by 0
- 2025Adaptive Protein Design Protocols and Middleware7 Oct 2025
- 2023High Throughput Training of Deep Surrogates from Large Ensemble Runs28 Sep 2023
- 2023Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources15 Mar 2023
- 2021Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing6 Oct 2021
- 2021Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations10 Apr 2021
- 2021Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers4 Mar 2021