Parallel LZ77 Decoding using a GPU
@inproceedings{Morfiadakis2018ParallelLD, title={Parallel LZ77 Decoding using a GPU}, author={Emmanuel Morfiadakis}, year={2018} }
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
Figures, Tables, and Topics from this paper
References
SHOWING 1-10 OF 27 REFERENCES
Massively-Parallel Lossless Data Decompression
- Computer Science
- 2016 45th International Conference on Parallel Processing (ICPP)
- 2016
- 35
- Highly Influential
- PDF
CULZSS: LZSS Lossless Data Compression on CUDA
- Computer Science
- 2011 IEEE International Conference on Cluster Computing
- 2011
- 50
- PDF
To GPU synchronize or not GPU synchronize?
- 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
- Computer Science
- J. Parallel Distributed Comput.
- 2008
- 658
- Highly Influential
- PDF
Accelerator: using data parallelism to program GPUs for general-purpose uses
- Computer Science
- ASPLOS XII
- 2006
- 342
- PDF
From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming
- Computer Science
- Parallel Comput.
- 2012
- 325
- PDF
Almost work-optimal pram erew decoders of LZ compressed text
- Computer Science
- Parallel Process. Lett.
- 2004
- 8