Download High Performance Computing - HiPC 2006: 13th International by Pierre Fraigniaud (auth.), Yves Robert, Manish Parashar, PDF

By Pierre Fraigniaud (auth.), Yves Robert, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna (eds.)

This ebook constitutes the refereed complaints of the thirteenth overseas convention on High-Performance Computing, HiPC 2006, held in Bangalore, India in December 2006.

The fifty two revised complete papers offered including the abstracts of seven invited talks have been rigorously reviewed and chosen from 335 submissions. The papers are equipped in topical sections on scheduling and cargo balancing, architectures, community and disbursed algorithms, program software program, community companies, purposes, ad-hoc networks, platforms software program, sensor networks and function overview, in addition to routing and information administration algorithms.

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Additional resources for High Performance Computing - HiPC 2006: 13th International Conference, Bangalore, India, December 18-21, 2006. Proceedings

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Chatterjee, and N. Dumir. Towards a theory of cache-efficient algorithms. In Journal of the ACM, 2002. 21. A. Verma and S. Sen. Model and algorithms for prefetching in memory hierarchy. ps, 2005. 22. U. Vishkin. Can parallel algorithms enhance serial implementation? In Communications of the ACM, 1996. 23. J. Vitter and E. Shriver. Algorithms for parallel memory I: Two-level memories. Algorithmica, 12(2):110–147, 1994. A Cache-Partitioning Aware Replacement Policy for Chip Multiprocessors Haakon Dybdahl1 , Per Stenstr¨ om2 , and Lasse Natvig1 1 Dept.

We will show later that many straight-line algorithms fall in this class. We begin with a technical lemma and some definitions. Lemma 1. For any set of k pre-determined block reads, the total time needed is O(L + kBM ). Definition 3. e. Ii < Ij ), iff Ii is executed before Ij in A. We define I w,i and I r,i as the ordered sets consisting of all the instructions that write and read respectively from memory location si , where the order is based on their usage time in A. Definition 4. The neighbourhood set NI is defined as a set containing all the tuples of the form {I1 , I2 } such that I1 , I2 ∈ {I w,i ∪ I r,i , I w,j ∪ I r,j } for some i, j and ∃ I3 : I3 ∈ (I w,i ∪ I r,i ∪ I r,j ∪ I w,j ) and I1 < I3 < I2 or I2 < I3 < I1 .

Sen sequential algorithm with prefetching performs I-O in blocks of D. It emulates the D disks as contiguous locations in D zones of the single disk. For every parallel I-O pi performed by the PDM algorithm, let Si be the set of D I-Os that the PDM algorithm performs concurrently. The emulation algorithm starts the prefetch of all these |Si | blocks together. When all the |Si | blocks are available in the fast memory, the emulation algorithm starts prefetch of the blocks in Si+1 corresponding to the next parallel I-O pi+1 .

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