Computational Science and Its Applications – ICCSA 2016: by Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria

By Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A.C. Rocha, Carmelo M. Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang

The five-volume set LNCS 9786-9790 constitutes the refereed proceedingsof the sixteenth foreign convention on Computational technology and ItsApplications, ICCSA 2016, held in Beijing, China, in July 2016.
The 239 revised complete papers and 14 brief papers provided at 33 workshops have been rigorously reviewed and chosen from 849 submissions. they're prepared in 5 thematical tracks: computational equipment, algorithms and clinical purposes; excessive functionality computing and networks; geometric modeling, pix and visualization; complicated and rising functions; and knowledge structures and technologies.

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Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis. SC 2013, pp. 26:1–26:12 (2013) 17. : A study of SpMV implementation using MPI and OpenMP on intel many-core architecture. , Nakajima, K. ) VECPAR 2014. LNCS, vol. 8969, pp. 43–56. K. C. edu Abstract. Wireless sensor networks consist of sensor devices with limited energy resources and computational capabilities, hence network optimization and algorithmic development in minimizing the total energy or power to maintain the connectivity of the underlying network are crucial for their design and maintenance.

1 Investigation of SpMV Kernel for MIC Existing Kernels and Their Problems As shown in the previous section, the rate of calculation of the implementation for the MIC cluster was relatively high in some matrices (Fig. 7). The high rate is caused by two factors. One factor is the decrease in problem size per MPI process due to the strong scaling. The effect of the decrease in problem size in the MIC is larger than that in the host CPU because a small problem cannot exploit MIC’s parallelism sufficiently.

N − 1}) have been constructed in the fashion as in the basis step: (x1 , yj1 , zk1 ), (x2 , yj2 , zk2 ), . . , (xi , yji , zki ) ∈ M for some distinct indices j1 , j2 , . . , ji ∈ {1, 2, . . , n} and some distinct indices k1 , k2 , . . , ki ∈ {1, 2, . . , n} such that the 2i nodes: yj1 ,1 , zk1 ,1 , yj2 ,2 , zk2 ,2 , . . , yji ,i , zki ,i ∈ R (cluster-representatives of Yj1 , Zk1 , Yj2 , Zk2 , . . , Yji , Zki , respectively) and the 3i inter-cluster edges: {x1 , yj1 ,1 }, {yj1 ,1 , zk1 ,1 }, {zk1 ,1 , x2 }, .

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