NDLI: JParEnt: Parallel Entropy Decoding for JPEG Decompression on Heterogeneous Multicore Architectures

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JParEnt: Parallel Entropy Decoding for JPEG Decompression on Heterogeneous Multicore Architectures

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JParEnt: Parallel Entropy Decoding for JPEG Decompression on Heterogeneous Multicore Architectures

Content Provider	ACM Digital Library
Author	Burgstaller, Bernd Jung, Minyoung Park, Jinwoo Sodsong, Wasuwee
Abstract	The JPEG format is the de facto image compression standard, with billions of views every day. Parallelizing the entropy decoding step of the JPEG decompression algorithm remains a challenging problem, because codewords are of variable length, and the start-position of a codeword in the bitstream is not known before the previous codeword has been decoded. In this paper, we present JParEnt, a novel parallel entropy decoding method for JPEG decompression on heterogeneous multicores. JParEnt applies a fast block boundary scan on the CPU to determine the start-positions of coefficient blocks in the bitstream, followed by parallel entropy decoding on the GPU. Our pipelined execution scheme exploits parallelism between CPU and GPU, and overlaps almost all CPU-to-GPU data transfers with GPU kernel executions. We have evaluated JParEnt's performance for more than 1000 images on four heterogeneous multicore platforms, including one embedded board. JParEnt is up to 4.3× faster than the SIMD-implementation of the libjpeg-turbo library. On average, JParEnt's CPU-based boundary scan consumes 45% of the sequential entropy decoding time of libjpeg-turbo. Given this new constant for the non-parallelizable part of JPEG decompression, JParEnt achieves up to 97% of the theoretically attainable speedup, with an average of 95%.
Starting Page	104
Ending Page	113
Page Count	10
File Format	PDF
ISBN	9781450341967
DOI	10.1145/2883404.2883423
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Variable-length codes Jpeg compression Entropy decoding
Content Type	Text
Resource Type	Article

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