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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tongsima, S. Chantrapornchai, C. Sha, E. Passos, N.L. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Notre Dame Univ., IN, USA (Tongsima, S.) |
| Abstract | Computation intensive DSP applications usually require a parallel/pipelined processor in order to achieve specific timing requirements. Data hazards are a major obstacle against the high performance of pipelined systems. This paper presents a novel efficient loop scheduling algorithm that reduces data hazards for those DSP applications. Such an algorithm has been embedded in a tool, called SHARP, which schedules a pipelined data flow graph to multiple pipelined units, while hiding the underlying data hazards and minimizing the execution time. This paper reports significant improvement for some well-known benchmarks, showing the efficiency of the scheduling algorithm and the flexibility of the simulation tool. |
| Starting Page | 253 |
| Ending Page | 262 |
| File Size | 702165 |
| Page Count | 10 |
| File Format | |
| ISBN | 0780331346 |
| DOI | 10.1109/VLSISP.1996.558358 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-10-30 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hazards Digital signal processing Pipeline processing Scheduling algorithm Hardware Computer applications Computer architecture Costs Processor scheduling Computer science |
| Content Type | Text |
| Resource Type | Article |
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