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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiyang Kang Jae-Woo Ahn Jiyoung Cho Ki-Il Kum Wonyong Sung |
| Copyright Year | 1999 |
| Description | Author affiliation: Sch. of Electr. Eng., Seoul Nat. Univ., South Korea (Jiyang Kang) |
| Abstract | As the complexity of multimedia applications increases, the need for efficient and compiler-friendly processor architectures also grows. In this paper, a new multimedia processor architecture is proposed. This processor has a 2-issue VLIW architecture with 64-bit SIMD arithmetic functional units to exploit the instruction-level and subword data parallelism found in multimedia applications. Moreover, densely encoded instructions supporting memory operands, DSP-like addressing modes, and SIMD capability boost the performance while keeping the code size and hardware cost small. To maximally utilize this architecture, a software environment including a code converter, a VLIW compiler system, and a compiled simulator has also been developed. The processor core has been synthesized for LSI logic 0.25 /spl mu/m library, which results in the total gate count of 102 K. In spite of the relatively smaller issue rate, the proposed processor shows a comparable or higher performance in terms of both the cycle count and the code size when compared to the 8-issue TMS320C62xx, for DSP benchmark kernels and an H.263 video encoder. |
| Starting Page | 211 |
| Ending Page | 220 |
| File Size | 506623 |
| Page Count | 10 |
| File Format | |
| ISBN | 0780356500 |
| ISSN | 15206130 |
| DOI | 10.1109/SIPS.1999.822326 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-10-22 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | VLIW Computer architecture Arithmetic Application software Hardware Costs Large scale integration Logic Software libraries Digital signal processing |
| Content Type | Text |
| Resource Type | Article |
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