Download e-book for iPad: Advanced Parallel Processing Technologies: 10th by Foivos S. Zakkak, Dimitrios Chasapis (auth.), Chenggang Wu,

By Foivos S. Zakkak, Dimitrios Chasapis (auth.), Chenggang Wu, Albert Cohen (eds.)

ISBN-10: 3642452922

ISBN-13: 9783642452925

ISBN-10: 3642452930

ISBN-13: 9783642452932

This ebook constitutes the refereed post-proceedings of the tenth foreign Symposium on complicated Parallel Processing applied sciences, APPT 2013, held in Stockholm, Sweden, in August 2013. The 30 revised complete papers provided have been conscientiously reviewed and chosen from sixty two submissions. The papers disguise quite a lot of themes taking pictures the various state-of-the-art and perform in parallel structure, parallel software program, concurrent and allotted platforms, and cloud computing, with a spotlight on computing structures for large facts applications.

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Extra info for Advanced Parallel Processing Technologies: 10th International Symposium, APPT 2013, Stockholm, Sweden, August 27-28, 2013, Revised Selected Papers

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Using a three-value-bit vector representation to encode memory address ranges. This representation, however, causes aliasing and over-approximation of memory ranges when the array base address, row-size and stride are not powers of 2. Aliasing in turn creates false dependencies which reduce parallelism, and also a high overhead for maintaining and querying a global trie-structure that detects overlapping memory ranges. In comparison, BDDT uses a transparent block-level dependence analysis with constant-time overhead per block that, with proper choice of block size, eliminates aliasing and false dependencies.

3× slowdown compared to OpenMP on 32 cores. 1 vs. 1 with OpenMP. BDDT allows the programmer to selectively apply or turn off the dependence analysis per task argument. The “w/o analysis” line in Figure 2(c) shows the performance of BDDT with dependence analysis disabled for all arguments, via data annotations. BDDT performs identical to OpenMP on up to 16 cores. For 16 cores or more, BDDT outperforms OpenMP by 15% to 45%, a difference that increases with the core count. The result indicates that BDDT’s implementation of the runtime system is efficient, scalable, and can be used by both conventional task-based models and advanced models with out-of-order task execution capabilities.

We run the experiments on the R910 server described in table 1. The server is configured with 32 logical processors with hyperthreading enabled.

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Advanced Parallel Processing Technologies: 10th International Symposium, APPT 2013, Stockholm, Sweden, August 27-28, 2013, Revised Selected Papers by Foivos S. Zakkak, Dimitrios Chasapis (auth.), Chenggang Wu, Albert Cohen (eds.)


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