Foivos S. Zakkak, Dimitrios Chasapis (auth.), Chenggang Wu,'s Advanced Parallel Processing Technologies: 10th PDF

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 e-book 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 offered have been rigorously reviewed and chosen from sixty two submissions. The papers disguise a variety of themes shooting many of the cutting-edge and perform in parallel structure, parallel software program, concurrent and allotted platforms, and cloud computing, with a spotlight on computing structures for giant info 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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Specifically, each written task argument (out or inout footprint) creates a new metadata element to describe the argument blocks, and each read (in) task argument creates one or more metadata element to describe the argument blocks. Read arguments may result in multiple metadata elements, if the relevant blocks were described by more than one metadata elements (fragmentation) before the new task is created; this captures the scenario of a consumer task waiting for multiple producers. This design allows for an efficient dependence analysis while limiting the complexity of accessing and updating the same data structures for every block.

Handling Task Dependencies under Strided and Aliased References. In: ICS (2010) 13. : CellSs: Making it Easier to Program the Cell Broadband Engine Processor. IBMRD 51(5), 593–604 (2007) 14. : Hierarchical Task-Based Programming With StarSs. IJHPCA 23(3), 284–299 (2009) 15. : A programming model for deterministic task parallelism. In: MSPC, pp. 7–12 (2011) 16. : The Design, Implementation, and Evaluation of Jade. TOPLAS 20(3), 483–545 (1998) 17. : Region-based memory management. Inf. Comput. 132(2) (1997) 18.

To improve virtual machine memory access locality and at the same time to achieve system load balance, we propose a user-level NUMA-aware VM scheduler that periodically scheduling the VCPUs onto certain NUMA nodes according to the CPU and memory usage of all VMs in the virtualized system. The NUMAaware scheduling algorithm properly selects a “best NUMA node” for a VM that is worth scheduling onto this “best NUMA node” to improve memory access locality as well as to balance system load. Our “Best NUMA Node” based virtual machine scheduling algorithm (short for BNN algorithm) dynamically adjust the placement of VMs running on NUMA nodes as the workload behaviors of the VMs change during execution.

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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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