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 dispensed computing and functions linked to the ICA3PP 2010 convention. those symposia and workshops supply shiny possibilities for researchers and practitioners to proportion their study adventure, unique study effects and functional improvement stories within the new difficult learn components of parallel and dispensed 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 a variety of issues that reach past the most meetings. The target used to be to supply a greater assurance of rising learn parts and in addition 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 overseas Symposium on Frontiers of Parallel and allotted Computing • HPCTA 2010, the 2010 overseas Workshop on High-Performance Computing, applied sciences and purposes • M2A 2010, the 2010 foreign Workshop on Multicore and Mul- threaded Architectures and Algorithms all of the symposia / workshops occupied with 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 experiences. every one paper was once reviewed via self reliant referees who judged the papers for originality, caliber, contribution, presentation and consistency with the subject matter of the workshops.
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Extra info for Algorithms and Architectures for Parallel Processing: 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Workshops, Part II
One is (i) loop 30 with array size 720 and the other is (ii) loop 90 with array size 1440. Then we use one core, two cores and three cores to run the program and then measure and record the execution time. 4 Experimental Results When all experimental programs are completed, we can get the execution time on the different conditions. is the experimental result of parallel programming on multi-core system. It shows the Matrix Multiplication and Livermore loop1 programs’ execution time in different core numbers with different problem sizes.
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