A Tool for Programming Embarrassingly Task Parallel Applications on CoW and NoW

TL;DR

This paper introduces JJPF, a Java-based tool designed to simplify programming embarrassingly parallel applications on commodity hardware like clusters and clouds, demonstrating effectiveness and efficiency.

Contribution

The paper presents JJPF, a novel tool that facilitates development of embarrassingly parallel applications using Java and Jini, optimized for commodity hardware environments.

Findings

Effective and efficient performance on clusters and networks

Supports a wide range of embarrassingly parallel problems

Simplifies development process for parallel applications

Abstract

Embarrassingly parallel problems can be split in parts that are characterized by a really low (or sometime absent) exchange of information during their computation in parallel. As a consequence they can be effectively computed in parallel exploiting commodity hardware, hence without particularly sophisticated interconnection networks. Basically, this means Clusters, Networks of Workstations and Desktops as well as Computational Clouds. Despite the simplicity of this computational model, it can be exploited to compute a quite large range of problems. This paper describes JJPF, a tool for developing task parallel applications based on Java and Jini that showed to be an effective and efficient solution in environment like Clusters and Networks of Workstations and Desktops.