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Content Provider | ACM Digital Library |
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Author | Sohi, Gurindar S. Moshovos, Andreas |
Abstract | We identify that typical programs exhibit highly regular read-after-read (RAR) memory dependence streams. We exploit this regularity by introducing read-after-read (RAR) memory dependence prediction. We also present two RAR memory dependence prediction-based memory latency reduction techniques. In the first technique, a load can obtain a value by simply naming a preceding load with which a RAR dependence is predicted. The second technique speculatively converts a series of LOADI-USEI,…,LOADN-USEN chains into a single LOADI-USEI…USEN producer/consumer graph. Our techniques can be implemented as surgical extensions to the recently proposed read-after-write (RAW) dependence prediction based speculative memory cloaking and speculative memory bypassing. On average, our techniques provide correct values for an additional 20% (integer codes) and 30% (floating-point codes) of all loads. Moreover, a combined RAW- and RAR-based cloaking/bypassing mechanism improves performance by 6.44% (integer) and 4.66% (floating-point) even when naive memory dependence speculation is used. The original RAW-based cloaking/bypassing mechanism yields improvements of 4.28% (integer) and 3.20% (floating-point). |
Starting Page | 177 |
Ending Page | 185 |
Page Count | 9 |
File Format | |
ISBN | 076950437X |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 1999-11-16 |
Access Restriction | Subscribed |
Content Type | Text |
Resource Type | Article |
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