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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cadenas, O. Megson, G. |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Syst. Eng., Reading Univ. (Cadenas, O.; Megson, G.) |
| Abstract | This paper formally derives a new path-based neural branch prediction algorithm (FPP) into blocks of size two for a lower hardware solution while maintaining similar input-output characteristic to the algorithm. The blocked solution, here referred to as B2P algorithm, is obtained using graph theory and retiming methods. Verification approaches were exercised to show that prediction performances obtained from the FPP and B2P algorithms differ within one misprediction per thousand instructions using a known framework for branch prediction evaluation. For a chosen FPGA device, circuits generated from the B2P algorithm showed average area savings of over 25% against circuits for the FPP algorithm with similar time performances thus making the proposed blocked predictor superior from a practical viewpoint |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 155424 |
| Page Count | 6 |
| File Format | |
| ISBN | 142440312X |
| DOI | 10.1109/FPL.2006.311216 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-28 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Field programmable gate arrays Circuits Hardware Accuracy History Maintenance engineering Systems engineering and theory Prediction algorithms Graph theory Performance evaluation |
| Content Type | Text |
| Resource Type | Article |
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