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

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 complaints 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 distinctive and 31 standard papers chosen from ninety submissions and protecting subject matters equivalent to immense info, multi-core programming and software program instruments, allotted scheduling and cargo balancing, high-performance clinical computing, parallel algorithms, parallel architectures, scalable and disbursed databases, dependability in allotted and parallel platforms, instant and cellular computing. the second one quantity involves 4 sections together with 35 papers from one symposium and 3 workshops held along side ICA3PP 2013 major convention. those are thirteen papers from the 2013 overseas Symposium on Advances of disbursed and Parallel Computing (ADPC 2013), five papers of the foreign Workshop on tremendous info Computing (BDC 2013), 10 papers of the overseas Workshop on relied on info in huge information (TIBiDa 2013) in addition to 7 papers belonging to Workshop on Cloud-assisted shrewdpermanent Cyber-Physical structures (C-Smart CPS 2013).

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

Example text

2 Runtime Capture Analysis Our proposal is based on the work of Dragojevic et al. [8], originally proposed for the Intel C++ STM compiler, but that we adapted to the Deuce STM. In Algorithm 1, we show the pseudo code for a read and a write barrier in Deuce STM when using runtime capture analysis. In both cases, the barrier first checks whether the object being accessed is captured by the current transaction. If so, it accesses data directly from memory; otherwise, it executes the standard full barrier.

In fact, even with this runtime capture analysis, Deuce STM still does not perform well in some of the most challenging benchmarks, such as the Vacation [4] or 1 With the hash table performing slightly worse, 5% in the worst case, than the alternatives. M. Carvalho and J. Cachopo the STMBench7 [12], where transactions are more coarse-grained and, therefore, encompass more memory accesses. We claim that is, in part, due to the relative high cost of the isCaptured function, and that, if we can lower that cost, we may solve the problem.

Thus, it is desirable to support the development of large applications for heterogeneous clusters by appropriate high-level programming models and software tools. Such a programming model is the model of parallel tasks, in which an application is decomposed into a set of parallel tasks each of which can be executed on multiple processors in parallel. There may be data or control dependencies between parallel tasks that enforce an execution of the respective tasks one after another, but independent parallel tasks can be executed concurrently on disjoint subsets of processors.

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