PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads

PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads

Abstract With the development of peta- and exascale size computational systems there is growing interest in running Big Data and Artificial Intelligence (AI) applications on them. Big Data and AI applications are implemented in Java, Scala, Python and other languages that are not widely used in High...

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Bibliographic Details
Main Authors: Marek Nowicki, Łukasz Górski, Piotr Bała
Format: Article
Language:English
Published: SpringerOpen 2021-04-01
Series:Journal of Big Data
Subjects:
Parallel computing
Java
Partitioned Global Address Space
PCJ
HPC
Big Data
Online Access:https://doi.org/10.1186/s40537-021-00454-6

Internet

https://doi.org/10.1186/s40537-021-00454-6

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