On the parallel programmability of JavaSymphony for multi-cores and clusters. (31st March 2019)

• Record Type: Journal Article
• Authors: Aleem, Muhammad; Prodan, Radu; Islam, Muhammad Arshad; Iqbal, Muhammad Azhar
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 30:Number 4(2019)
• Page Start: 247
• Page End: 264
• Publication Date: 2019-03-31
• Subjects: parallel programming -- Java -- multi-core scheduler -- GPU computing; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

Abstract

This paper explains the programming aspects of a promising Java-based programming and execution framework called JavaSymphony. JavaSymphony provides unified high-level programming constructs for applications related to shared, distributed, hybrid memory parallel computers, and co-processors accelerators. JavaSymphony applications can be executed on multi-/many-core conventional and data-parallel architectures. JavaSymphony is based on the concept of dynamic virtual architectures, which allows programmers to define a hierarchical structure of the underlying computing resources and to control load-balancing and task-locality. In addition to GPU support, JavaSymphony provides a multi-core aware scheduling mechanism capable of mapping parallel applications on large multi-core machines and heterogeneous clusters. Several real applications and benchmarks (on modern multi-core computers, heterogeneous clusters, and machines consisting of a combination of different multi-core CPU and GPU devices) have been used to evaluate the performance. The results demonstrate that the JavaSymphony outperforms the Java implementations, as well as other modern alternative solutions.