Algorithms and Architectures for Parallel Processing: 13th by Antonio Balzanella, Rosanna Verde (auth.), Joanna Kołodziej,

By Antonio Balzanella, Rosanna Verde (auth.), Joanna Kołodziej, Beniamino Di Martino, Domenico Talia, Kaiqi Xiong (eds.)

This quantity set LNCS 8285 and 8286 constitutes the lawsuits of the thirteenth foreign convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2013, held in Vietri sul Mare, Italy in December 2013. the 1st quantity includes 10 exotic and 31 standard papers chosen from ninety submissions and masking issues comparable to mammoth info, multi-core programming and software program instruments, allotted scheduling and cargo balancing, high-performance clinical computing, parallel algorithms, parallel architectures, scalable and allotted databases, dependability in allotted and parallel platforms, instant and cellular computing. the second one quantity includes 4 sections together with 35 papers from one symposium and 3 workshops held along with ICA3PP 2013 major convention. those are thirteen papers from the 2013 overseas Symposium on Advances of dispensed and Parallel Computing (ADPC 2013), five papers of the overseas Workshop on great info Computing (BDC 2013), 10 papers of the overseas Workshop on depended on info in giant facts (TIBiDa 2013) in addition to 7 papers belonging to Workshop on Cloud-assisted clever Cyber-Physical platforms (C-Smart CPS 2013).

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Extra info for Algorithms and Architectures for Parallel Processing: 13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part I

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The STMBench7 throughput for LSA and JVSTM, in the three available workloads, without long traversal operations. For readability reasons we omitted TL2, which is the worst of the STMs. In the results of Figure 2 we omitted TL2, which is the STM with the worst performance. We can also observe that the performance of LSA-licm is between 20% and 80% better than LSA-filter, depending on the workload. Even though LSA-licm performs better, its results are still far from the results obtained with JVSTM-licm, which is the most performant STM in the STMBench7.

Looking at the values of the internal validity indexes, computed for our proposal and for the k-means on stocked data, it emerges that the homogeneity of the clusters and their separation, is quite similar. Table 2. 857 12 A. Balzanella and R. Verde Table 3. 86 1 Moreover, the value of the Rand Index and of the Adjusted Rand Index highlights the strength of the consensus between the obtained partitions. A further aim of our tests is to evaluate if the proposed strategy is able to discover the time point of the evolution, to measure its strength and to understand which streams have the strongest evolution.

This algorithm is an extension of a layer-based scheduling approach for homogeneous platforms with an additional phase that assigns the parallel tasks to appropriate subclusters. Three different versions of this additional phase are considered. An experimental evaluation, based on simulation results as well as on measurements with different application benchmarks, shows that the proposed scheduling approach outperforms existing scheduling algorithms in most situations. 1 Introduction A heterogeneous cluster is a distributed memory platform composed of multiple homogeneous subclusters.

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