By Hong Shen (auth.), Anu G. Bourgeois, S. Q. Zheng (eds.)
This e-book constitutes the refereed lawsuits of the eighth overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2008, held in Agia Napa, Cyprus, in June 2008.
The 31 revised complete papers awarded including 1 keynote speak and 1 instructional have been rigorously reviewed and chosen from 88 submissions. The papers are equipped in topical sections on scheduling and cargo balancing, interconnection networks, parallel algorithms, allotted platforms, parallelization instruments, grid computing, and software program systems.
Read Online or Download Algorithms and Architectures for Parallel Processing: 8th International Conference, ICA3PP 2008, Cyprus, June 9-11, 2008 Proceedings PDF
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Additional resources for Algorithms and Architectures for Parallel Processing: 8th International Conference, ICA3PP 2008, Cyprus, June 9-11, 2008 Proceedings
The weight of an edge, which represents the amount of time needed to communicate the data, is called the communication cost of the edge. The source node of an edge incident on a node is called a parent of that node. Similarly, the destination node emerged from a node is called a child of that node. A node with no parent is called an entry node and a node with no child is called an exit node. The precedence constraints of a DAG dictate that a node cannot start execution before it gathers all of the messages from its parent nodes.
Even though message passing is supported, with some implementation of MPI , there is no support for computational data partitioning and load This work was supported in part by NSF EIA-9986042, ACI-0133464, ACI-0312828, and IIS-0431135; the Digital Technology Center at the University of Minnesota; and by the Army High Performance Computing Research Center (AHPCRC) under the auspices of the Department of the Army, Army Research Laboratory (ARL) under Cooperative Agreement number DAAD19-01-2-0014.
The ﬁrst one is related to the algorithm used by RB to distribute jobs among CEs; this algorithm inﬂuences in a strong manner the performance of the whole system. The second scheduling layer manages the jobs allocation done by the CE on its underlying WNs. Finally lowest scheduling activity is related to the mechanism used by the operating system(OS) of each WN to schedule jobs on its CPU. In the following will be taken into account only the ﬁrst two levels of scheduling: it has been assumed that the OS scheduling is constituted by non preemptive FIFO schedulers that link only one job per CPU at time (as used in HPC systems).