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INCREASING THE PERFORMANCE OF JPEG2000 ENCODING THROUGH HIGH-PERFORMANCE COMPUTING

机译:通过高性能计算提高JPEG2000的性能

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This paper describes a methodology for parallelize 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 it's non-parallel 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. Afterwards, 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.
机译:本文介绍了一种通过使用Beowulf Cluster和已经存在的开源JPEG2000编码软件来并行化JPEG2000编码器的方法。它首先概述了为图像集群选择的技术架构解决方案,并证明了随后的选择是合理的。接下来,在非并行和并行版本上都将介绍编码算法,并讨论了在原始版本中进行的修改,以提高其在高性能计算平台上的性能。之后,介绍了在编码器上执行的测试,并讨论了所获得的结果。最后,提出了一些结论和今后的工作。本文的主要重点是提出的解决方案的高性能计算硬件方面,从而增强了可以通过相对低成本的硬件体系结构解决方案获得高性能解决方案的想法。

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