Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | Lecture Notes in Computer Science 7119 |
| MU Faculty or unit | |
| Citation | |
| Web | SpringerLink |
| Doi | http://dx.doi.org/10.1007/978-3-642-25929-6_13 |
| Field | Informatics |
| Keywords | JPEG2000; GPU; arithmetic coding; MQ-Coding; image compression; parallel; low-occupancy; CUDA |
| Description | 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. |
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