Segment-Parallel Predictor for FPGA-Based Hardware Compressor and Decompressor of Floating-Point Data Streams to Enhance Memory I/O Bandwidth

@article{Sano2010SegmentParallelPF,
  title={Segment-Parallel Predictor for FPGA-Based Hardware Compressor and Decompressor of Floating-Point Data Streams to Enhance Memory I/O Bandwidth},
  author={Kentaro Sano and Kazuya Katahira and Satoru Yamamoto},
  journal={2010 Data Compression Conference},
  year={2010},
  pages={416-425}
}
This paper presents segment-parallel prediction for high-throughput compression and decompression of floating-point data streams on an FPGA-based LBM accelerator. In order to enhance the actual memory I/O bandwidth of the accelerator, we focus on the prediction-based compression of floating-point data streams. Although hardware implementation is essential to high-throughput compression, the feedback loop in the decompressor is a bottleneck due to sequential predictions necessary for bit… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

Using high-level knowledge to enhance data channels in FPGA streaming systems

  • 2014 24th International Conference on Field Programmable Logic and Applications (FPL)
  • 2014
VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Combining hardware and software codecs to enhance data channels in FPGA streaming systems

  • Microprocessors and Microsystems - Embedded Hardware Design
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

FPGA-based lossless compressors of floating-point data streams to enhance memory bandwidth

  • ASAP 2010 - 21st IEEE International Conference on Application-specific Systems, Architectures and Processors
  • 2010
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Differential FCM: increasing value prediction accuracy by improving table usage efficiency

  • Proceedings HPCA Seventh International Symposium on High-Performance Computer Architecture
  • 2001
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

FPGA-based Streaming Computation for Lattice Boltzmann Method

  • 2007 International Conference on Field-Programmable Technology
  • 2007
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Fast and Efficient Compression of Floating-Point Data

  • IEEE Transactions on Visualization and Computer Graphics
  • 2006
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Fast lossless compression of scientific floating-point data

  • Data Compression Conference (DCC'06)
  • 2006
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Lossless compression of high-volume numerical data from simulations

  • Proceedings DCC 2000. Data Compression Conference
  • 2000
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

A reliable LZ data compressor on reconfigurable coprocessors

  • Proceedings 2000 IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00871)
  • 2000
VIEW 1 EXCERPT