This paper describes a methodology for parallelizing a JPEG2000 encoder through the usage of a Beowulf Cluster and an already existing open-source JPEG2000 encoding software. It starts by giving an overview of the technical architecture solution chosen for the image cluster, justifying the choices that were followed. Next, the coding algorithm is presented, both on its nonparallel as well as the parallel version, discussing which were the modifications performed in the original version to improve its performance on a high-performance computing platform. Afterward, the tests that were performed on the encoder are presented and the results achieved are discussed. Finally, some conclusions and future work are presented. The major focus of this paper is on High-Performance Computing hardware aspects of the proposed solution, reinforcing the idea that high-performance solutions might be obtained through relatively low-cost hardware architecture solutions-

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Image processing and analysis,JPEG2000,parallel processing,Beowulf cluster

• Computer and Information Sciences - Natural Sciences
• Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology

This publication is associated with the following record:

• Increasing the Performance of JPEG2000 Encoding Through High-Performance Computing