Corpus ID: 70171182

Parallel LZ77 Decoding using a GPU

  title={Parallel LZ77 Decoding using a GPU},
  author={Emmanuel Morfiadakis},
  • Emmanuel Morfiadakis
  • Published 2018
  • Computer Science
  • Data compression, as a process, aims to satisfy the modern world’s need for speed and efficiency by reducing the cost of storing and transmitting information. Over the past few years, there have been several attempts to improve the performance and reduce the execution times of older compression algorithms by adapting them to make use of parallel programming architectures and hardware. The prevalent trend, however, is to focus on compression; the reverse process of decompression is largely… CONTINUE READING


    A Parallel Algorithm for LZW Decompression, with GPU Implementation
    • 6
    • PDF
    Massively-Parallel Lossless Data Decompression
    • 35
    • Highly Influential
    • PDF
    CULZSS: LZSS Lossless Data Compression on CUDA
    • 50
    • PDF
    To GPU synchronize or not GPU synchronize?
    • Wu-chun Feng, S. Xiao
    • Computer Science
    • Proceedings of 2010 IEEE International Symposium on Circuits and Systems
    • 2010
    • 70
    • PDF
    A performance study of general-purpose applications on graphics processors using CUDA
    • 658
    • Highly Influential
    • PDF
    Accelerator: using data parallelism to program GPUs for general-purpose uses
    • 342
    • PDF
    GPU Computing
    • 1,512
    • PDF
    From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming
    • 325
    • PDF
    Almost work-optimal pram erew decoders of LZ compressed text
    • 8
    Universal lossless data compression algorithms
    • 45
    • PDF