By Guojun Wang, Albert Zomaya, Gregorio Martinez, Kenli Li
This 4 quantity set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed complaints of the fifteenth overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.
The 219 revised complete papers provided including seventy seven workshop papers in those 4 volumes have been conscientiously reviewed and chosen from 807 submissions (602 complete papers and 205 workshop papers). the 1st quantity includes the subsequent subject matters: parallel and disbursed architectures; disbursed and network-based computing and net of items and cyber-physical-social computing. the second one quantity contains themes corresponding to giant information and its purposes and parallel and dispensed algorithms. the subjects of the 3rd quantity are: functions of parallel and allotted computing and repair dependability and safety in allotted and parallel platforms. The coated subject matters of the fourth quantity are: software program platforms and programming versions and function modeling and evaluation.
Read Online or Download Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV PDF
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Additional resources for Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV
Cheng Hu and Yuhui Deng Projective Synchronization for Complex Dynamical Networks of Non-delayed and Delayed Coupling with Different Scale Factors via Impulsive Control . . . . . . . . . . . . . . . . . . . . Yuxiu Li and Guoliang Cai Elastic Database Replication in the Cloud . . . . . . . . . . . . . Xianxia Zou, Jiuhui Pan, Wei Du, and Shuhong Chen 506 521 539 549 569 583 597 612 626 640 654 667 Contents – Part IV A Predetermined Deployment Technique for Lifetime Optimization in Clustered WSNs .
To deal with the relationship of CPU, MIC, data transfer, communication and checkpoint, the right part of Fig. 4 provides a simpliﬁed diagram of FT-Oﬄoad checkpointing protocol. The CPU allocates memory space, and then uploads the binary and initial data to MIC through Coprocessor Oﬄoad Infrastructure (COI). As shown in the ﬁgure. the application is initiated and does the most part of computation on MIC. Then the boundary buﬀer is transferred to CPU for halo exchange. This is performed by oﬄoad transfer directives.
This demonstrates that, when no failure occurs during the computation, the overhead of our checkpointing protocol of heterogeneous system is about 6 % on 1k nodes and 8 % on 8k nodes, it’s much less than 25 % labeled in . Noted that, as our weak scalability scheme, the problem scale of each process is the same while running on multiple nodes. The checkpointing interval is controlled under the MTBF, so before the system corrupt the checkpoint data can be saved. And in this experiment, we can carry out the checkpoint for better analysis.