Journal of Web Engineering

River Publishers (River Publishers)
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Lossless Compression Algorithm and Architecture for Reduced Memory Bandwidth Requirement with Improved Prediction Based on the Multiple DPCM Golomb-Rice Algorithm

  • Imjae Hwang (Sejong University) ;
  • Juwon Yun (Sejong University) ;
  • Woonam Chung (Sejong University) ;
  • Jaeshin Lee (Sejong University) ;
  • Cheong-Ghil Kim (Namseoul University) ;
  • Youngsik Kim (Korea Polytechnic University) ;
  • Woo-Chan Park (Sejong University)
  • Received : 2020.11.30
  • Accepted : 2021.06.22
  • Published : 2021.10.13
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Abstract

In a computing environment, higher resolutions generally require more memory bandwidth, which inevitably leads to the consumption more power. This may become critical for the overall performance of mobile devices and graphic processor units with increased amounts of memory access and memory bandwidth. This paper proposes a lossless compression algorithm with a multiple differential pulse-code modulation variable sign code Golomb-Rice to reduce the memory bandwidth requirement. The efficiency of the proposed multiple differential pulse-code modulation is enhanced by selecting the optimal differential pulse code modulation mode. The experimental results show compression ratio of 1.99 for high-efficiency video coding image sequences and that the proposed lossless compression hardware can reduce the bus bandwidth requirement.

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Acknowledgement

This research was supported in part by the MOTIE (Ministry of Trade, Industry & Energy) (10080568, Development of the Embedded GP-GPU for Deep Learning based Circumstances Recognition) and KSRC (Korea Semiconductor Research Consortium) support program for the development of the future semiconductor device. The EDA tool was supported by the IC Design Education Center (IDEC), Korea.