Job Scheduling Strategies for Parallel Processing: 8th by Achim Streit (auth.), Dror G. Feitelson, Larry Rudolph, Uwe

By Achim Streit (auth.), Dror G. Feitelson, Larry Rudolph, Uwe Schwiegelshohn (eds.)

This booklet constitutes the completely refereed post-proceedings of the eighth foreign Workshop on task Scheduling thoughts for Parallel Processing, JSSPP 2002, held along with HPDC-11 and FFG-5 in Edinburgh, Scotland in July 2002.

The 12 revised complete papers offered have been rigorously reviewed and chosen in the course of rounds of reviewing and revision; they current state of the art learn ends up in the realm with emphasis on classical vastly parallel processing scheduling, specifically backfilling, and on scheduling within the context of grid computing.

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Additional info for Job Scheduling Strategies for Parallel Processing: 8th International Workshop, JSSPP 2002 Edinburgh, Scotland, UK, July 24, 2002 Revised Papers

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We start out with introducing some notation for directed graphs. For a subset S of vertices in a directed graph G, let N+ (S) denote the set of vertices x in G such that there is a vertex s ∈ S with an edge (s, x) in G. Similarly, N− (S) is the set of vertices y in G such that there is a vertex s ∈ S with an edge (y, s) in G. A directed graph has path-girth k if k is the smallest positive integer for which there are vertices x and y having at least two distinct walks of length k from x to y. Equivalently, denoting the adjacency matrix of G are all 0-1 matrices, but the matrix by AG , it has path-girth k if A1G , .

One motivation behind the introduction of the crossing number variants pcr and ocr was the hope that they would turn out to be easier objects to deal with than the crossing number itself. For example, the odd crossing number problem can be rephrased as a shortest vector problem in an appropriately chosen vector space. The hope remains that through these alternative approaches we might obtain feasible approximation algorithms or parameterized algorithms solving the crossing number problem (the results by Grohe, Kawarabayashi and Reed do not yield feasible algorithms).

If we need a simultaneous geometric embedding we use the more restrictive term “straight-line planar realization”. A chain C of G is a simple path denoted v1 --v2 -- · · · --vt . The vertices of C are denoted V (C). J. G. Kobourov 16 16 15 15 14 14 13 13 12 12 11 11 10 10 9 9 8 8 7 7 6 6 5 5 4 4 3 3 2 2 1 (a) 1 (b) Fig. 2. Simultaneous embeddings of a path and a ULP tree with and without bends minimal (or maximal) track number of all the vertices of V (C). Such a vertex is φ-extreme if it is φ-minimal or φ-maximal.

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