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Semi-Automatic Parallelization of Java Applications

Overview Some types of time-consuming computations are naturally parallelizable. To take advantage of parallel processing, however, applications must be explicitly programmed to use specific libraries that share the workload among multiple (generally distributed) processors. This paper presents a set of Java tools that allows parallelizing some types of computationally-intensive Java applications a posteriori, even when the source code of these applications is not available. The tools operate using techniques based on bytecode transformation, code migration, and distributed parallel method executions.

Further White Paper Details
Publisher	Institut Eurecom	File Format	PDF
Date Published	August 2003
Format	White Papers
Topics	Java, Programming Languages, Application Development

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