This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …

This paper describes the Java MPI bindings that have been included in the Open MPI
distribution. Open MPI is one of the most popular implementations of MPI, the Message …

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 …

This paper presents the application of the PCJ library for the parallelization of the selected
HPC applications implemented in Java language. The library is motivated by partitioned …

PCJ is a Java library for scalable high performance and computing and Big Data processing.
The library implements the partitioned global address space (PGAS) model. The PCJ …

Graph processing is used in many fields of science such as sociology, risk prediction or
biology. Although analysis of graphs is important it also poses numerous challenges …

Malleability—the ability for applications to dynamically adjust their resource allocations at
runtime—presents great potential to enhance the efficiency and resource utilization of …

With the wide adoption of the multicore and multiprocessor systems the parallel
programming became a very important element of the computer science. The programming …

Graph-based computations are used in many applications. Increasing size of analyzed data
and its complexity make graph analysis a challenging task. In this paper we present …

Abstract High-Performance Computing (HPC) enables solving complex problems from
various scientific fields including key societal problems such as COVID-19. Recently …