Analysis of the O-GEometric History Length Branch Predictor
In this paper, we introduce and analyze the Optimized GEometric History Length (O-GEHL) branch Predictor that efficiently exploits very long global histories in the100-200 bits range. The GEHL predictor features several predictor tables T(i) (e.g. 8) indexed through independent functions of the glob...
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| Published in: | 32nd International Symposium on Computer Architecture (ISCA'05) pp. 394 - 405 |
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| Main Author: | |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Washington, DC, USA
IEEE Computer Society
01.05.2005
IEEE |
| Series: | ACM Conferences |
| Subjects: | |
| ISBN: | 076952270X, 9780769522708 |
| ISSN: | 1063-6897 |
| Online Access: | Get full text |
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