By Guojun Wang, Albert Zomaya, Gregorio Martinez, Kenli Li
This 4 quantity set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed lawsuits 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 awarded 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 contains the subsequent subject matters: parallel and disbursed architectures; allotted and network-based computing and web of items and cyber-physical-social computing. the second one quantity includes subject matters corresponding to tremendous facts and its purposes and parallel and dispensed algorithms. the subjects of the 3rd quantity are: purposes of parallel and dispensed computing and repair dependability and safety in allotted and parallel platforms. The coated themes of the fourth quantity are: software program platforms and programming types and function modeling and evaluation.
Read or Download Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV (Lecture Notes in Computer Science) PDF
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Extra resources for Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV (Lecture Notes in Computer Science)
7. The gray bar shows the running time of PCG and the black bar is for FT-PCG when no failure occurs. 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.
Dan Zeng, Liang Zhu, Xiaofei Liao, and Hai Jin 74 A Light-Weight Hot Data Identification Scheme via Grouping-based LRU Lists . . . . . . . . . . . . . . . . . . . . . . . . Biaobiao Shen, Yongkun Li, Yinlong Xu, and Yubiao Pan 88 iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R . . . . . . . . . . . . . . . . . . . . . . . . . . Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, and Yihua Huang 104 Enhancing I/O Scheduler Performance by Exploiting Internal Parallelism of SSDs .
IEEE (2010) 32. : Revisiting the foundations of quantum theory of atoms in molecules: the variational procedure and the zero-ﬂux conditions. Int. J. Quantum Chem. 108(9), 1477–1484 (2008) 33. : Algorithm-based recovery for iterative methods without checkpointing. In: Proceedings of the 20th International Symposium on High Performance Distributed Computing, pp. 73–84. cn Abstract. Big Data Analytics is a big challenge for the performance of the computing and storage systems. With the rapid development of multi-core and GPU processors, the performance of HDD-based storage system becomes much more serious.