By Xian-he Sun, Wenyu Qu, Ivan Stojmenovic, Wanlei Zhou, Zhiyang Li, Hua Guo, Geyong Min, Tingting Yang, Yulei Wu, Lei Liu (eds.)
This quantity set LNCS 8630 and 8631 constitutes the court cases of the 14th overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2014, held in Dalian, China, in August 2014. The 70 revised papers offered within the volumes have been chosen from 285 submissions. the 1st quantity includes chosen papers of the most convention and papers of the first overseas Workshop on rising subject matters in instant and cellular Computing, ETWMC 2014, the fifth overseas Workshop on clever verbal exchange Networks, IntelNet 2014, and the fifth overseas Workshop on instant Networks and Multimedia, WNM 2014. the second one quantity includes chosen papers of the most convention and papers of the Workshop on Computing, verbal exchange and keep watch over applied sciences in clever Transportation approach, 3C in ITS 2014, and the Workshop on safeguard and privateness in computing device and community structures, SPCNS 2014.
Read or Download Algorithms and Architectures for Parallel Processing: 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27, 2014. Proceedings, Part I PDF
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Additional info for Algorithms and Architectures for Parallel Processing: 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27, 2014. Proceedings, Part I
1. As explained in its technical speciﬁcation , HPCG intends to solve the linear system generated from the ﬁnite diﬀerence discretization of the Poisson equation: −Δu = f , with homogeneous Dirichlet boundary conditions applied along the boundary of a three-dimensional cubic domain Ω. Based on a semistructured mesh with equidistant mesh spaces in the x, y and z directions, respectively, the discretization employed in HPCG leads to a second-order accurate 27-point stencil as shown in Fig. 1. For distributed parallel computing, HPCG makes use of a three-dimensional domain decomposition strategy and assigns one MPI process to each of the resulted small subdomains.
Second, the global 32 X. Zhang et al. reduction can be overlapped with the matrix-vector product and with the application of the preconditioner. However, there are also some price to pay. An extra application of SpMV and preconditioner is required before starting the iteration loop. In addition, by using the new algorithm, the number of AXPBY’s in each iteration has increased from 3 to 8. The overhead introduced by the extra AXPBY’s can be reduced by properly changing the calling sequence and fusing the input and output vectors, as shown in line 9-12 in Algorithm 2.
Secondly, we introduce an incremental tensor factorization (ITF) method to deal with the dynamic data streams of service QoS value, which is represented as tensor stream using a sequence of multi-arrays. Algorithmically, we designed ITF very carefully so that it is scalable and space eﬃcient. In summary, this paper makes the following contributions: 1. The introduction of tensors to Web service missing QoS value prediction: the two-dimensional user-service matrix is extended into a user-service-time triadic relations represented by a three-dimensional tensor.
Algorithms and Architectures for Parallel Processing: 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27, 2014. Proceedings, Part I by Xian-he Sun, Wenyu Qu, Ivan Stojmenovic, Wanlei Zhou, Zhiyang Li, Hua Guo, Geyong Min, Tingting Yang, Yulei Wu, Lei Liu (eds.)