Presentation | 1998/10/15 A Study on Branch Predictors that Dynamically Reduce Destructive Aliasings ATSUSHI MORI, RYOTAROU KOBAYASHI, HIDEKI ANDO, TOSHIO SHIMADA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An accurate branch predictor is essential for modern microprocessors with deep pipeline. In recent study of branch predictors, it is clear that destructive aliasings limit performance of branch predictors. Therefore, reduction of destructive aliasing is required to improve branch prediction accuracy. Existing ways to reduce destructive aliasings were not efficient, because they aimed to reduce all aliasings. We show that improvement of branch prediction accuracy is possible by detecting and avoiding destructive aliasings. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | branch prediction / destructive aliasing |
Paper # | DSP98-93,ICD98-180,CPSY98-95 |
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Committee | ICD |
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Conference Date | 1998/10/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Integrated Circuits and Devices (ICD) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Branch Predictors that Dynamically Reduce Destructive Aliasings |
Sub Title (in English) | |
Keyword(1) | branch prediction |
Keyword(2) | destructive aliasing |
1st Author's Name | ATSUSHI MORI |
1st Author's Affiliation | Graduate School of Engineering, Nagoya University() |
2nd Author's Name | RYOTAROU KOBAYASHI |
2nd Author's Affiliation | Graduate School of Engineering, Nagoya University |
3rd Author's Name | HIDEKI ANDO |
3rd Author's Affiliation | Graduate School of Engineering, Nagoya University |
4th Author's Name | TOSHIO SHIMADA |
4th Author's Affiliation | Graduate School of Engineering, Nagoya University |
Date | 1998/10/15 |
Paper # | DSP98-93,ICD98-180,CPSY98-95 |
Volume (vol) | vol.98 |
Number (no) | 320 |
Page | pp.pp.- |
#Pages | 8 |
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