FWHT-OpenCL

Main Author: Pedro M. M. Pereira
Format: info software eJournal
Terbitan: , 2017
Subjects:
Online Access: https://zenodo.org/record/803257
ctrlnum 803257
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Pedro M. M. Pereira</creator><date>2017-06-06</date><description>The Walsh-Hadamard transform plays a major role in many image and video coding algorithms. In one hand, its intensive use in these algorithms makes its acceleration a challenge, in order to speed-up the algorithm execution. On the other hand, the available fast implementations are not efficient across different platforms. In this work, a parallel-based implementation of the WHT is proposed for CPU and GPU platforms using the OpenCL standard. OpenCL achieves portability at code level, but its performance suffers when the same code is used for CPUs and GPUs. To achieve top performance, we propose two WHT versions: OpenCL-GPU for GPUs and OpenCL-CPU for CPUs.</description><identifier>https://zenodo.org/record/803257</identifier><identifier>10.5281/zenodo.803257</identifier><identifier>oai:zenodo.org:803257</identifier><relation>url:https://github.com/ITLeiria/FWHT-OpenCL/tree/v1.0</relation><relation>doi:10.1109/IPTA.2016.7820984</relation><relation>doi:10.5281/zenodo.803256</relation><rights>info:eu-repo/semantics/openAccess</rights><subject>Fast Walsh-Hadamard Transform</subject><subject>OpenCL</subject><subject>Parallel processing</subject><subject>Signal processing algorithms</subject><title>FWHT-OpenCL</title><type>Other:info:eu-repo/semantics/other</type><type>Other:software</type><recordID>803257</recordID></dc>
format Other:info:eu-repo/semantics/other
Other
Other:software
Journal:eJournal
Journal
author Pedro M. M. Pereira
title FWHT-OpenCL
publishDate 2017
topic Fast Walsh-Hadamard Transform
OpenCL
Parallel processing
Signal processing algorithms
url https://zenodo.org/record/803257
contents The Walsh-Hadamard transform plays a major role in many image and video coding algorithms. In one hand, its intensive use in these algorithms makes its acceleration a challenge, in order to speed-up the algorithm execution. On the other hand, the available fast implementations are not efficient across different platforms. In this work, a parallel-based implementation of the WHT is proposed for CPU and GPU platforms using the OpenCL standard. OpenCL achieves portability at code level, but its performance suffers when the same code is used for CPUs and GPUs. To achieve top performance, we propose two WHT versions: OpenCL-GPU for GPUs and OpenCL-CPU for CPUs.
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