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

M Nowicki, Ł Górski, P Bała - Journal of Big Data, 2021 - Springer
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 …

Comparison of sort algorithms in Hadoop and PCJ

M Nowicki - Journal of Big Data, 2020 - Springer
Sorting algorithms are among the most commonly used algorithms in computer science and
modern software. Having efficient implementation of sorting is necessary for a wide …

[PDF][PDF] Load balancing, fault tolerance, and resource elasticity for asynchronous many-task systems

J Posner - 2021 - kobra.uni-kassel.de
Abstract High-Performance Computing (HPC) enables solving complex problems from
various scientific fields including key societal problems such as COVID-19. Recently …

Performance evaluation of Java/PCJ implementation of parallel algorithms on the cloud

M Nowicki, Ł Górski, P Bała - European Conference on Parallel …, 2020 - Springer
Cloud resources are more often used for large scale computing and data processing.
However, the usage of the cloud is different than traditional High-Performance Computing …

Comparison of sort algorithms in Hadoop and PCJ

N Marek - Journal of Big Data, 2020 - search.proquest.com
Sorting algorithms are among the most commonly used algorithms in computer science and
modern software. Having efficient implementation of sorting is necessary for a wide …

Performance evaluation of java/pcj implementation of parallel algorithms on the cloud (extended version)

M Nowicki, Ł Górski, P Bała - Concurrency and Computation …, 2023 - Wiley Online Library
Large‐scale computing and data processing with cloud resources is gaining popularity.
However, the usage of the cloud differs from traditional high‐performance computing (HPC) …

[引用][C] Load Balancing, Fault Tolerance, and Resource Elasticity for Asynchronous Many-Task Systems

C Fohry, M Schulz