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A high performance parallel DCT with OpenCL on heterogeneous computing environment
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DOI：10.1007/s11042-012-1028-x.png)
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Abstract
En 中文
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.
Keywords:
OpenCL
Multi-core
Many-core
DCT
Heterogeneous computing
Multimedia
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3
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1.9W
Citations:
3.2W
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