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Pipeline gating: speculation control for energy reduction | IEEE Conference Publication | IEEE Xplore

Pipeline gating: speculation control for energy reduction


Abstract:

Branch prediction has enabled microprocessors to increase instruction level parallelism (ILP) by allowing programs to speculatively execute beyond control boundaries. Alt...Show More

Abstract:

Branch prediction has enabled microprocessors to increase instruction level parallelism (ILP) by allowing programs to speculatively execute beyond control boundaries. Although speculative execution is essential for increasing the instructions per cycle (IPC), it does come at a cost. A large amount of unnecessary work results from wrong-path instructions entering the pipeline due to branch misprediction. Results generated with the SimpleScalar tool set using a 4-way issue pipeline and various branch predictors show an instruction overhead of 16% to 105% for event instruction committed. The instruction overhead will increase in the future as processors use more aggressive speculation and wider issue widths. In this paper we present an innovative method for power reduction ,which, unlike previous work that sacrificed flexibility or performance reduces power in high-performance microprocessors without impacting performance. In particular we introduce a hardware mechanism called pipeline gating to control rampant speculation in the pipeline. We present inexpensive mechanisms for determining when a branch is likely to mispredict, and for stopping wrong-path instructions from entering the pipeline. Results show up to a 38% reduction in wrong-path instructions with a negligible performance loss (/spl ap/1%). Best of all, even in programs with a high branch prediction accuracy, performance does not noticeable degrade. Our analysis indicates that there is little risk in implementing this method in existing processors since it does not impact performance and can benefit energy reduction.
Date of Conference: 01-01 July 1998
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-8491-7
Print ISSN: 1063-6897
Conference Location: Barcelona, Spain

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