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Influence of Compiler Optimizations on Value Prediction
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Influence of Compiler Optimizations on Value Prediction
Toshinori Sato6, 7 , Akihiko Hamano8 , Kiichi Sugitani9 and Itsujiro Arita6 
| (6) |
Department of Artificial Intelligence, Kyushu Institute of Technology, Japan |
| (7) |
Center for Microelectronic Systems, Kyushu Institute of Technology, 680-4K awazu, Iizuka 820-8502, Japan |
| (8) |
Heart at Work Co., Ltd., 3-18 Honmachi, Iizuka 820-0042, Japan |
| (9) |
Fujitsu Kyushu Digital Technology Ltd., 3-22-8 Hakata-ekimae, Hakata-ku, Fukuoka 812-0011, Japan |
Abstract
The practice of speculation in resolving data dependences based on value prediction has been studied as a means of extracting
more instruction level parallelism. There are many studies on value prediction mechanisms with high predictabilities. However,
to the best of our knowledge, the influence of compiler optimizations on value prediction has not been investigated. In this
paper we evaluate efficiency of value prediction on several binaries which are compiled with different optimization levels.
Detailed simulations reveal that value prediction is still effective for highly optimized binaries.
Keywords Instruction level parallelism - data speculation - value prediction - optimization level - high-performance compilers
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