Informace o publikaci

Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000

Autoři

MATELA Jiří ŠROM Martin HOLUB Petr

Rok publikování 2012
Druh Článek ve sborníku
Konference Lecture Notes in Computer Science 7119
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www SpringerLink
Doi http://dx.doi.org/10.1007/978-3-642-25929-6_13
Obor Informatika
Klíčová slova JPEG2000; GPU; arithmetic coding; MQ-Coding; image compression; parallel; low-occupancy; CUDA
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info