Download Algorithms and Architectures for Parallel Processing: 10th by Ahmad Awwad, Bassam Haddad, Ahmad Kayed (auth.), Ching-Hsien PDF

By Ahmad Awwad, Bassam Haddad, Ahmad Kayed (auth.), Ching-Hsien Hsu, Laurence T. Yang, Jong Hyuk Park, Sang-Soo Yeo (eds.)

It is our nice excitement to provide the court cases of the symposia and workshops on parallel and disbursed computing and functions linked to the ICA3PP 2010 convention. those symposia and workshops offer bright possibilities for researchers and practitioners to proportion their study event, unique study effects and useful improvement studies within the new tough study parts of parallel and disbursed computing applied sciences and purposes. It was once the 1st time that the ICA3PP convention sequence extra symposia and wo- outlets to its software as a way to offer quite a lot of issues that stretch past the most meetings. The target used to be to supply a greater insurance of rising learn components and likewise boards for concentrated and stimulating discussions. With this target in brain, we chosen 3 workshops to accompany the ICA3PP 2010 convention: • FPDC 2010, the 2010 foreign Symposium on Frontiers of Parallel and allotted Computing • HPCTA 2010, the 2010 overseas Workshop on High-Performance Computing, applied sciences and functions • M2A 2010, the 2010 overseas Workshop on Multicore and Mul- threaded Architectures and Algorithms all of the symposia / workshops fascinated by a selected subject and complemented the spectrum of the most convention. All papers released within the workshops proce- ings have been chosen by way of this system Committee at the foundation of referee reviews. every one paper was once reviewed through self reliant referees who judged the papers for originality, caliber, contribution, presentation and consistency with the subject of the workshops.

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Additional resources for Algorithms and Architectures for Parallel Processing: 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Workshops, Part II

Example text

In this paper, we will mix mentioned three dependences and call the combined dependences as United Dependence (UD). UD decides the instruction execution order and is the key point of our analysis. Figure 1 is an example for instruction parallelism. Figure 1(a) is a code slice from SEPC2000 twolf which is a basic block. (b) is the UDG of (a). How to get a UDG is described at following section. (c) and (d) are two divisions of original code, and the Single Thread Program Parallelism with Dataflow Abstracting Thread 15 Fig.

W. ” When programmers want to distribute a code block to an allocated thread, they can use these two functions. “on_thread(thread_id)” function allocates code block which is surrounded by the brace characters to the assigned thread. When you insert the thread number to the “thread_id” location, the cpu will decide that whether it should do the code block according to the thread number. “on_one_thread” is defined using macro and it will be replaced by if statement. “on_one_thread” is replaced by “if(MYTHREAD == 0)”, and “on_thread(thread_id)” will be replaced by”if(MYTHREAD ==(thread_id))”.

2 Performance Evaluation Compared to Baseline The baseline performance is the original single thread program running under the baseline microarchitecture showed in Table 1. Figure 5 is the normalized performance improvement compared with the baseline performance. 2 1 2 3 4 5 6 Number of Threa ds 7 8 Fig. 5. Speedup with multi-threads gzip gcc 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 2 3 parser votex 4 5 6 Number of Threads 19 bzip art 7 8 Fig. 6. The ratio of waiting time improvement is close when the number of thread is equal or smaller than 4.

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