Listar por tema "High-performance computing"
Mostrando ítems 1-4 de 4
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bioScience: A new python science library for high-performance computing bioinformatics analytics
(Elsevier Ltd, 2024)[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ... -
High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn
(Springer, 2021)[Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library ... -
Soft-fault recovery in MPI applications
(2020-09)[Abstract] Current high-performance computing (HPC) systems are comprised of thousands of CPU cores, and this number is expected to grow into the millions in the near future. With such an elevated number of processors, ... -
The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism
(Springer, 2022)[Abstract] Data-flow computing is a natural and convenient paradigm for expressing parallelism. This is particularly true for tools that automatically extract the data dependencies among the tasks while allowing to exploit ...