Performance Evaluation of Value Predictor in High Performance Microprocessors
Byoung-Chan Jeon, Kim Hyeock-Jin, RU Dae-Hee
Abstract
Byoung-Chan Jeon, Kim Hyeock-Jin, RU Dae-Hee
Abstract
value prediction in high performance micro processors is a technique that exploits Instruction Level Parallelism(ILP) by predicting the outcome of an instruction and by breaking and executing true data dependences. In this paper, the mean Performance improvements by predictor according to a point of time for update of each table as well as prediction accuracy and Prediction rate are measured and assessed by comparison and analysis of value predictor that issues in parallel and run by predicting value, which is for Performance improvements of ILP in micro Processor. For the verification of its validity the SPECint95 benchmark through the simulation is compared by making use of execution driven system.
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value prediction in high performance micro processors is a technique that exploits Instruction Level Parallelism(ILP) by predicting the outcome of an instruction and by breaking and executing true data dependences. In this paper, the mean Performance improvements by predictor according to a point of time for update of each table as well as prediction accuracy and Prediction rate are measured and assessed by comparison and analysis of value predictor that issues in parallel and run by predicting value, which is for Performance improvements of ILP in micro Processor. For the verification of its validity the SPECint95 benchmark through the simulation is compared by making use of execution driven system.
Key concepts: Benchmark (surveying), Computer science, Parallelism (grammar), Value (mathematics), Table (database), Branch predictor, Exploit, Parallel computing