Hybrid load-value predictors
نویسندگان
چکیده
منابع مشابه
Hybrid Load-Value Predictors
Microprocessors are becoming faster at such a rapid pace that memory systems cannot keep up. As a result, the relative latency of load instructions grows constantly and already impedes processor pe rformance. Load value predictors alleviate this problem by allowing the CPU to speculatively continue processing without having to wait for load instructions to co mplete, which can significantly imp...
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Value prediction has been proposed for breaking data-dependencies and increasing instruction level parallelism. One of the drawbacks of many of the proposed techniques is that the value predictors require very large hardware structures which use up many transistors and can consume a large amount of energy. In this study, we use data-widths to partition the value prediction structures into multi...
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∗ now at Cornell University Abstract Most well-performing load value predictors are hybrids that combine multiple predictors into one. Such hybrids are often large. To reduce their size and to improve their performance, this paper presents two storage reduction techniques as well as a detailed analysis of the interaction between a hybrid’s components. We found that state sharing and simple valu...
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To alleviate the high cost of main-memory accesses, computer architects have proposed various speculation mechanisms, including load-value prediction. A loadvalue predictor forecasts the result of load instructions, thus allowing dependent instructions to execute without having to wait for the memory access to complete. Unfortunately, costly mispredictions hinder the true potential of load-valu...
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Memory accesses continue to represent a major performance bottleneck and much remains to be done to tolerate their latencies. A large body of work exists that presents load-value prediction as an effective means to hide some of the memory latency. To increase the prediction accuracy and hence the performance, researchers have proposed more complex and larger predictor designs. This paper re-eva...
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ژورنال
عنوان ژورنال: IEEE Transactions on Computers
سال: 2002
ISSN: 0018-9340
DOI: 10.1109/tc.2002.1017696