D
2012
Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000
MATELA, Jiří, Martin ŠROM and Petr HOLUB
Basic information
Original name
Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000
Authors
MATELA, Jiří (203 Czech Republic, guarantor, belonging to the institution),
Martin ŠROM (203 Czech Republic) and
Petr HOLUB (203 Czech Republic, belonging to the institution)
Edition
Heidelberg, Lecture Notes in Computer Science 7119, p. 136-145, 10 pp. 2012
Publisher
Springer Berlin / Heidelberg
Other information
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/12:00065901
Organization unit
Faculty of Informatics
Keywords (in Czech)
JPEG2000; GPU; arithmetic coding; MQ-Coding; image compression; parallel; low-occupancy; CUDA
Keywords in English
JPEG2000; GPU; arithmetic coding; MQ-Coding; image compression; parallel; low-occupancy; CUDA
Tags
International impact, Reviewed
V originále
Arithmetic coding, and especially adaptive MQ-Coder of JPEG2000, is a serial process which does not match well specifics of GPUs as massively parallel processors. In this paper we study and evaluate several approaches to acceleration of MQ-Coding using commodity GPU hardware, including proposal of a new enhanced renormalization procedure. We conclude with "low occupancy approach" and 5.6--16x average speedup when compared to state of the art multi-threaded CPU implementations.
Links
GD102/09/H042, research and development project | Name: Matematické a inženýrské metody pro vývoj spolehlivých a bezpečných paralelních a distribuovaných počítačových systémů | Investor: Czech Science Foundation |
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MSM0021622419, plan (intention) | Name: Vysoce paralelní a distribuované výpočetní systémy | Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems |
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MUNI/A/0914/2009, interní kód MU | Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV) | Investor: Masaryk University, Category A |
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