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Strategy of microscopic parallelism for Bitplane Image Coding
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Aulí-Llinàs, Francesc, Enfedaque, Pablo , Moure, Juan , Blanes, C. Ian and Sanchez Silva, Victor (2015) Strategy of microscopic parallelism for Bitplane Image Coding. In: 2015 Data Compression Conference (DCC), Snowbird, UT, 7-9 Apr 2015. Published in: Proceedings of 2015 Data Compression Conference pp. 163-172. doi:10.1109/DCC.2015.19 ISSN 1068-0314.
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Official URL: http://doi.org/10.1109/DCC.2015.19
Abstract
Recent years have seen the upraising of a new type of processors strongly relying on the Single Instruction, Multiple Data (SIMD) architectural principle. The main idea behind SIMD computing is to apply a flow of instructions to multiple pieces of data in parallel and synchronously. This permits the execution of thousands of operations in parallel, achieving higher computational performance than with traditional Multiple Instruction, Multiple Data (MIMD) architectures. The level of parallelism required in SIMD computing can only be achieved in image coding systems via microscopic parallel strategies that code multiple coefficients in parallel. Until now, the only way to achieve microscopic parallelism in bitplane coding engines was by executing multiple coding passes in parallel. Such a strategy does not suit well SIMD computing because each thread executes different instructions. This paper introduces the first bitplane coding engine devised for the fine grain of parallelism required in SIMD computing. Its main insight is to allow parallel coefficient processing in a coding pass. Experimental tests show coding performance results similar to those of JPEG2000.
Item Type: | Conference Item (Paper) | ||||||
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Alternative Title: | |||||||
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > T Technology (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Graphics processing units, Image compression -- Standards, Computer architecture | ||||||
Journal or Publication Title: | Proceedings of 2015 Data Compression Conference | ||||||
Publisher: | IEEE | ||||||
ISSN: | 1068-0314 | ||||||
Official Date: | 6 July 2015 | ||||||
Dates: |
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Page Range: | pp. 163-172 | ||||||
DOI: | 10.1109/DCC.2015.19 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 28 February 2017 | ||||||
Date of first compliant Open Access: | 28 February 2017 | ||||||
Funder: | Spain. Ministerio de Economía y Competitividad [Ministry of Economy and Competitiveness] (MINECO), Fonds Européen de Développement Économique et Régional (FEDER), Catalonia. Government | ||||||
Grant number: | RYC-2010-05 671, UAB-472-02- 2/2012, TIN2012-38102-C03-03, TIN2011-28689-C02-1, and 20 14SGR-691. | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2015 Data Compression Conference (DCC) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Snowbird, UT | ||||||
Date(s) of Event: | 7-9 Apr 2015 |
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