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Algorithms and Architectures for Parallel Processing: 14th by Xian-he Sun, Wenyu Qu, Ivan Stojmenovic, Wanlei Zhou,

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 foreign 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 foreign Workshop on rising issues in instant and cellular Computing, ETWMC 2014, the fifth foreign Workshop on clever communique Networks, IntelNet 2014, and the fifth overseas Workshop on instant Networks and Multimedia, WNM 2014. the second one quantity contains chosen papers of the most convention and papers of the Workshop on Computing, verbal exchange and regulate applied sciences in clever Transportation process, 3C in ITS 2014, and the Workshop on safety and privateness in laptop and community structures, SPCNS 2014.

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Extra info for Algorithms and Architectures for Parallel Processing: 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27, 2014. Proceedings, Part I

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In: 2010 IEEE International Conference on Web Services (ICWS), pp. 9–16. IEEE (2010) 7. : Matrix factorization techniques for recommender systems. Computer 42(8), 30–37 (2009) 8. : Tensor decompositions and applications. SIAM Review 51(3), 455–500 (2009) 9. : Some mathematical notes on three-mode factor analysis. Psychometrika 31(3), 279–311 (1966) 10. : Combining global optimization with local selection for efficient qos-aware service composition. In: Proceedings of the 18th International Conference on World Wide Web, pp.

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. 1 Sparse Matrix Storage Format The sparse matrix storage format plays a key role in SpMV and SymGS performance. In the HPCG reference implementation, a standard Compressed Sparse Row (CSR) format is used.

References 1. : Quality driven web services composition. In: Proceedings of the 12th International Conference on World Wide Web, pp. 411–421. ACM (2003) 2. : Personalized qos prediction forweb services via collaborative filtering. In: IEEE International Conference on Web Services ICWS 2007, pp. 439–446 (2007) 3. : Wsrec: A collaborative filtering based web service recommender system. In: 2009 IEEE International Conference on Web Services, pp. 437–444 (2009) 4. : Collaborative web service qos prediction via neighborhood integrated matrix factorization.

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