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Increasing the efficiency of the DaCS programming model for heterogeneous systems
(Springer, 2012)
Efficient programming of hybrid systems is usually done with the use of new programming models. It creates a unique opportunity to increase the performance of scientific applications and is also especially interesting in ...
Scalable computing in Java with PCJ Library. Improved collective operations
(Sissa Medialab srl, 2021)
Machine learning and Big Data workloads are becoming as important as traditional HPC ones.
AI and Big Data users tend to use new programming languages such as Python, Julia, or Java, while the HPC community is still ...
PCJ - a Java library for heterogenous parallel computing
(WSEAS, 2022)
With the wide adoption of the multicore and multiprocessor systems the parallel programming became a very important element of the computer science. The programming of the multicore systems is still complicated and far to ...
PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads
(Springer, 2021)
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 ...