Algorithms and Architectures for Parallel Processing: 12th by Jih-Ching Chiu, Kai-Ming Yang, Chen-Ang Wong (auth.), Yang

By Jih-Ching Chiu, Kai-Ming Yang, Chen-Ang Wong (auth.), Yang Xiang, Ivan Stojmenovic, Bernady O. Apduhan, Guojun Wang, Koji Nakano, Albert Zomaya (eds.)

The quantity set LNCS 7439 and 7440 includes the lawsuits of the twelfth overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2012, in addition to a few workshop papers of the CDCN 2012 workshop which was once held along side this convention. The forty general paper and 26 brief papers integrated in those court cases have been conscientiously reviewed and chosen from 156 submissions. The CDCN workshop attracted a complete of nineteen unique submissions, eight of that are integrated partially II of those complaints. The papers hide many dimensions of parallel algorithms and architectures, encompassing basic theoretical ways, sensible experimental effects, and advertisement elements and systems.

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Extra resources for Algorithms and Architectures for Parallel Processing: 12th International Conference, ICA3PP 2012, Fukuoka, Japan, September 4-7, 2012, Proceedings, Part II

Example text

The SigTM[9] was a hybrid TM system with software transactional memory and hardware transactional memory. It provided a difficult strong isolation guarantee. Even though some problems in this new mechanism with a parallel computing environment need to be solved[10–12], TM still provides a safe and convenient mechanism for programmers to operate with shared resources. The nested problem in a TM system is a popular issue on discussing how to solve the nested transactions but still maintain the serializability and performance[10].

A task is failed when it did not start execution or when the task’s overall time taken to complete passes the stated deadline. The number of devices in the system is increased from 20 to 50 to 100. The average of 30 trials for each scenario is shown in the graphs. The selectively random method did pretty well considering that the method is mainly random as shown in Figure 2(a). , random determination of device among the selectable devices) proved to be quite important for the overall performance as just random performed very poorly.

155–165 (2009) 7. : SNZI: Scalable NonZero Indicators. In: Proceedings of the 26th Annual ACM Symposium on Principles of Distributed Computing, PODC 2007, Portland, Oregon, USA (2007) 8. : Anatomy of a Scalable Software Transactional Memory. In: 4th ACM SIGPLAN Workshop on Transactional Computing (2009) 9. : An Effective Hybrid Transactional Memory System with Strong Isolation Guarantees. In: ISCA 2007, San Diego, California, USA, June 9-13, pp. 69–80 (2007) 10. : Safe Open-Nested Transactions Through Ownership.

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