A high performance parallel DCT with OpenCL on heterogeneous computing environment

  • Authors:
  • Cheong Ghil Kim;Yong Soo Choi

  • Affiliations:
  • Department of Computer Science, Namseoul University, Cheonan, South Korea;Graduate School of Information Security, Korea University, Seoul, South Korea

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2013

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Abstract

A noteworthy thing in desktop PCs is that they can provide a great opportunity to increase the performance of processing multimedia data by exploiting task- and data-parallelism with multi-core CPU and many-core GPU. This paper presents a high performance parallel implementation of 2D DCT on this heterogeneous computing environment. For this purpose, Intel TBB (threading building blocks) and OpenCL (Open Compute Language) are utilized for task- and data-parallelism, respectively. The simulation result shows that the parallel DCT implementations far the serial ones in processing speed. Especially, OpenCL implementation shows a linear speedup, a typical SIMD characteristic as the increase of 2D data sets.