2005Unpublished venueRequires access

First step to combining control and data speculation

Toshinori Sato

Open publisher page 3 citations

Abstract

Recently there are many studies of data value prediction for increasing instruction level parallelism, and it is found that data speculation affects branch prediction accuracy. Even when data dependences are speculated successfully, processor performance would be degraded if branch prediction accuracy were decreased. On the other hand, branch prediction studies are nearly matured. While it becomes very difficult to increase the accuracy, there is still a vast gap between actual and ideal processor performance. From these considerations, we investigate to combine control and data speculation. Here, we evaluate the correlation between control speculation and data speculation and then propose to predict branch outcomes using data value prediction. Keywords: instruction level parallelism, speculative execution, branch prediction, value prediction, speculative verification.

About this research paper

What this paper is about

Recently there are many studies of data value prediction for increasing instruction level parallelism, and it is found that data speculation affects branch prediction accuracy. Even when data dependences are speculated successfully, processor performance would be degraded if branch prediction accuracy were decreased. On the other hand, branch prediction studies are nearly matured. While it becomes very difficult to increase the accuracy, there is still a vast gap between actual and ideal processor performance. From these considerations, we investigate to combine control and data speculation. Here, we evaluate the correlation between control speculation and data speculation and then propose to predict branch outcomes using data value prediction. Keywords: instruction level parallelism, speculative execution, branch prediction, value prediction, speculative verification.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Available abstract

Recently there are many studies of data value prediction for increasing instruction level parallelism, and it is found that data speculation affects branch prediction accuracy. Even when data dependences are speculated successfully, processor performance would be degraded if branch prediction accuracy were decreased. On the other hand, branch prediction studies are nearly matured. While it becomes very difficult to increase the accuracy, there is still a vast gap between actual and ideal processor performance. From these considerations, we investigate to combine control and data speculation. Here, we evaluate the correlation between control speculation and data speculation and then propose to predict branch outcomes using data value prediction. Keywords: instruction level parallelism, speculative execution, branch prediction, value prediction, speculative verification.

Key concepts: Speculation, Branch predictor, Speculative execution, Computer science, Parallelism (grammar), Value (mathematics), Speculative multithreading, Instruction-level parallelism

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