CULZSS: LZSS Lossless Data Compression on CUDA

Ozsoy A., Swany M.

IEEE International Conference on Cluster Computing (CLUSTER), Texas, United States Of America, 26 - 30 September 2011, pp.403-411, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/cluster.2011.52
  • City: Texas
  • Country: United States Of America
  • Page Numbers: pp.403-411
  • Hacettepe University Affiliated: No

Abstract

Increasing needs in efficient storage management and better utilization of network bandwidth with less data transfer lead the computing community to consider data compression as a solution. However, compression introduces an extra overhead and performance can suffer. The key elements in making the decision to use compression are execution time and compression ratio. Due to negative performance impact, compression is often neglected.