By Pen-Chung Yew (auth.), Lynn Choi, Yunheung Paek, Sangyeun Cho (eds.)

On behalf of this system and organizing committee contributors of this convention, we th are happy to provide you with the court cases of the 12 Asia-Pacific desktops structure convention (ACSAC 2007), which used to be hosted in Seoul, Korea on August 23-25, 2007. This convention has normally been a discussion board for best researchers within the Asian, American and Oceanian areas to percentage contemporary development and the most recent ends up in either architectural and process matters. some time past few years the c- ference has develop into extra overseas within the experience that the geographic foundation of p- ticipants has develop into broader to incorporate researchers from all over the international, incl- ing Europe and the center East. This yr, we acquired ninety two paper submissions. each one submission used to be reviewed by means of at the least 3 basic reviewers besides as much as 3 secondary reviewers. the complete variety of accomplished stories reached 333, giving every one submission 3.6 experiences on general. all of the experiences have been rigorously tested throughout the paper choice approach, and at last 26 papers have been approved, leading to an attractiveness expense of approximately 28%. the chosen papers surround quite a lot of issues, with a lot emphasis on and software program concepts for cutting-edge multicore and multithreaded architectures.

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Additional resources for Advances in Computer Systems Architecture: 12th Asia-Pacific Conference, ACSAC 2007, Seoul, Korea, August 23-25, 2007. Proceedings

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The execution is sequential. Besides the original computing, the extra inserted profiling codes collect information about intra-iteration control flow and crossing-iteration data dependence. In Fig. 3(b), the function branch_profile will record the times when the cond1 is true. This initial profiling phase lasts a fixed amount of iterations, such as 200. When profiling phase ends, a runtime decision routine like the function decision_routine in Fig. 3(c) is called. It analyzes the collected profiling results to decide current frequent violation candidate sets (FVC).

In: PLDI’04 (2004) 7. : The Accuracy of Initial Prediction in Two-Phase Dynamic Binary Translators. In: CGO’04 (2004) 8. CC 13, 57–72 (2004) 9. : Transactional Memory Coherence and Consistency. ISCA 31 (2004) 10. : Profile Guided Compiler Optimizations. The Compiler Design Handbook: Optimizations & Machine Code Generation. Auerbach Publications Entropy-Based Profile Characterization and Classification for Automatic Profile Management Jinpyo Kim1 , Wei-Chung Hsu1 , Pen-Chung Yew1 , Sreekumar R. Nair2 , and Robert Y.

3(a) shows, Two-phase profile guided optimization process is driven by a main loop. e. the execution is sequential. Besides the original computing, the extra inserted profiling codes collect information about intra-iteration control flow and crossing-iteration data dependence. In Fig. 3(b), the function branch_profile will record the times when the cond1 is true. This initial profiling phase lasts a fixed amount of iterations, such as 200. When profiling phase ends, a runtime decision routine like the function decision_routine in Fig.

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Advances in Computer Systems Architecture: 12th Asia-Pacific by Pen-Chung Yew (auth.), Lynn Choi, Yunheung Paek, Sangyeun
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