Parallel SRP-PHAT for GPUs
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Taewoo | - |
dc.contributor.author | Chang, Sukmoon | - |
dc.contributor.author | Yook, Dongsuk | - |
dc.date.accessioned | 2021-09-04T04:31:04Z | - |
dc.date.available | 2021-09-04T04:31:04Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2016-01 | - |
dc.identifier.issn | 0885-2308 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/89954 | - |
dc.description.abstract | The steered response power phase transform (SRP-PHAT) is one of the widely used algorithms for sound source localization. Since it must examine a large number of candidate sound source locations, conventional SRP-PHAT approaches may not be used in real time. To overcome this problem, an effort was made previously to parallelize the SRP-PHAT on graphics processing units (GPUs). However, the full capacities of the GPU were not exploited since on-chip memory usage was not addressed. In this paper, we propose GPU-based parallel algorithms of the SRP-PHAT both in the frequency domain and time domain. The proposed methods optimize the memory access patterns of the SRP-PHAT and efficiently use the on-chip memory. As a result, the proposed methods demonstrate a speedup of 1276 times in the frequency domain and 80 times in the time domain compared to CPU-based algorithms, and 1.5 times in the frequency domain and 6 times in the time domain compared to conventional GPU-based methods. (C) 2015 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | - |
dc.subject | SOURCE LOCALIZATION | - |
dc.subject | ROBUST | - |
dc.title | Parallel SRP-PHAT for GPUs | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yook, Dongsuk | - |
dc.identifier.doi | 10.1016/j.csl.2015.05.002 | - |
dc.identifier.scopusid | 2-s2.0-84930958953 | - |
dc.identifier.wosid | 000362605600001 | - |
dc.identifier.bibliographicCitation | COMPUTER SPEECH AND LANGUAGE, v.35, pp.1 - 13 | - |
dc.relation.isPartOf | COMPUTER SPEECH AND LANGUAGE | - |
dc.citation.title | COMPUTER SPEECH AND LANGUAGE | - |
dc.citation.volume | 35 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 13 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordPlus | SOURCE LOCALIZATION | - |
dc.subject.keywordPlus | ROBUST | - |
dc.subject.keywordAuthor | Sound source localization | - |
dc.subject.keywordAuthor | SRP-PHAT | - |
dc.subject.keywordAuthor | GPUs | - |
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