RADICAL-Pilot (formerly known as BigJob) is a flexible Pilot System that provides a simple and an scalable approach for executing many concurrent simulations and their data requirements on clusters, grids, and clouds. RADICAL-Pilot is written in the Python programming language, and as such is easily deployable into user space. It allows user-level control of Pilots and supports a wide range of application types. It is built on top of The Simple API for Grid Applications (SAGA), a high-level, easy-to-use API for accessing distributed resources. Thus, RADICAL-Pilot works on a variety of backends such as PBS, SGE, Amazon EC2, etc.
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Scalable.. Capable of scheduling O(10k) tasks and marshalling O(10k) distributed cores, RADICAL-Pilot offers its users a lightweight API capable of handling a variety of workloads.
Versatile. The sky’s the limit as far as applications are concerned. With use cases ranging from molecular dynamics to astrophysics, many projects can benefit from the use of RADICAL-Pilot.
Easy-to-use. RADICAL-Pilot allows its users to submit tasks to a variety of HPC machines using only a single, straightforward API.
Fast. Submit all your tasks via only one job using RADICAL-Pilot, avoiding unnecessary batch scheduling times and significantly reducing time-to-completion.
RADICAL-Pilot is being used by Chemistry researchers to support large-scale and multidimensional replica exchange simulations on supercomputers.
Researchers at UCL London are using RADICAL-Pilot to advance understanding of HIV drug resistance and make personalized treatment possible.
RADICAL-Pilot supports multi-physics and coupled simulations, such as hybrid CFD-MD simulations to understand Couette Flow, as well as PBM-DEM simulations for Cybermanufacturing.