By Pen-Chung Yew (auth.), Lynn Choi, Yunheung Paek, Sangyeun Cho (eds.)
On behalf of this system and organizing committee participants of this convention, we th are happy to provide you with the complaints 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 commonly been a discussion board for best researchers within the Asian, American and Oceanian areas to percentage contemporary development and the newest ends up in either architectural and process matters. long ago few years the c- ference has develop into extra foreign within the feel that the geographic foundation of p- ticipants has develop into broader to incorporate researchers from everywhere in the international, incl- ing Europe and the center East. This 12 months, we obtained ninety two paper submissions. each one submission used to be reviewed by way of not less than 3 fundamental reviewers besides as much as 3 secondary reviewers. the full variety of accomplished reports reached 333, giving each one submission 3.6 studies on typical. all of the stories have been conscientiously tested through the paper choice method, and at last 26 papers have been authorised, 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 thoughts for state of the art multicore and multithreaded architectures.
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Extra info for Advances in Computer Systems Architecture: 12th Asia-Pacific Conference, ACSAC 2007, Seoul, Korea, August 23-25, 2007. Proceedings
Compared with it, our design selects the optimal transaction partition at runtime, so using the optimized codes needn’t wait until the next execution of programs. Java runtime parallelizing machine (JRPM)  is a dynamic compilation system supported by hardware proﬁler. It is based on CMP with thread-level 30 Y. Liu et al. speculating supports. This system uses two-phase proﬁle guided optimization to boost the performance of speculative threads. It collects information from initial execution to identify those good loops to parallelize.
In this paper, we propose a continuous two-phase proﬁle guided optimization framework on a speculative multithreading execution platform based on transaction memory. The framework includes online proﬁling and dynamic optimization for speculative parallelization of loops. To reduce runtime overhead, it generates possible optimized loop versions in advance, and at runtime selects an appropriate version to execute according to initial proﬁling results. This design supports dynamic transaction partition for speculative parallel threading, and other optimizations such as value prediction and triple regions partition.
48 J. Kim et al. Adaptive Proﬁler. Figure 6 shows the results of using entropy in an adaptive proﬁler for the SPECjbb ver. NET platform. After the ﬁrst run of the program, the proﬁler increases the sampling rate from one sample per 100 M instruction to one sample per 10M instructions according to the entropy measured. In practice, we may not have the baseline proﬁle to compute the similarity metric (S). We could use the delta (Δ) of similarity (S) between current cumulative proﬁle and previous cumulative proﬁle.
Advances in Computer Systems Architecture: 12th Asia-Pacific Conference, ACSAC 2007, Seoul, Korea, August 23-25, 2007. Proceedings by Pen-Chung Yew (auth.), Lynn Choi, Yunheung Paek, Sangyeun Cho (eds.)