| Paper: | DISPS-P2.6 | ||
| Session: | Fast Algorithms | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Design and Implementation of Signal Processing Systems: Fast Algorithms | ||
| Title: | OPTIMIZING THE JPEG2000 BINARY ARITHMETIC ENCODER FOR VLIW ARCHITECTURES | ||
| Authors: | Brian Valentine; Morgan State University | ||
| Oliver Sohm; Texas Instruments, Inc. | |||
| Abstract: | This paper proposes several techniques for optimizing the JPEG2000 binary arithmetic encoder on Very Long Instruction Word (VLIW) architectures. Binary arithmetic coding (BAC) contains a large amount of conditional and sequential processing steps that make parallelism on VLIW devices difficult to realize. The purpose of this paper is to illustrate an optimized software implementation that can software pipeline on a VLIW device. The Texas Instruments (TI) TMS320C64x Digital Signal Processor (DSP) was chosen as the implementation platform. Results of our optimized code show a 2.4x performance speed-up over a straightforward implementation of the arithmetic encoder as defined in the JPEG2000 standard. | ||
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