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ZENODO
Software . 2019
Data sources: Datacite
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Software . 2019
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Software . 2019
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LZSS Parallel Stream Processing on Multi-Cores with GPUs

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Apr 2019Publisher:Zenodo
Authors: Stein, Charles Michael; Griebler, Dalvan;

doi: 10.5281/zenodo.3969685 , 10.5281/zenodo.3969684

LZSS Parallel Stream Processing on Multi-Cores with GPUs

Abstract

This repository has the parallel and sequential implementations for the Lempel-Ziv-Storer-Szymanski (LZSS) data compression applications. We introduced stream parallelism for CPU (using SPar) and GPU (using CUDA and OpenCL). Reference paper citation [DOI] Stein, C.; Griebler, D.; Danelutto, M.; Fernandes, L. G. Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs. 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 247-251, IEEE, Pavia, Italy, 2019.

Keywords

stream parallelism, parallel programming, gpu, multicore, opencl, cuda, stream processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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