Download Job Scheduling Strategies for Parallel Processing: IPPS '96 by Dror G. Feitelson, Larry Rudolph PDF

By Dror G. Feitelson, Larry Rudolph

This e-book constitutes the strictly refereed post-workshop complaints of the overseas Workshop on task Scheduling innovations for Parallel Processing, held at the side of IPPS '96 symposium in Honolulu, Hawaii, in April 1996.
The publication offers 15 completely revised complete papers accredited for inclusion at the foundation of the studies of at the very least 5 software committee individuals. the quantity is a hugely useful contribution to advancing the cutting-edge within the region of task scheduling for parallel supercomputers. one of the issues addressed are activity scheduler, workload evolution, gang scheduling, multiprocessor scheduling, parallel processor allocation, and dispensed reminiscence environments.

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Additional info for Job Scheduling Strategies for Parallel Processing: IPPS '96 Workshop Honolulu, Hawaii, April 16, 1996 Proceedings

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A prototype implementation of an argument-based learning system is now going on in such a way that it is incorporated into the existing automated argument system based on EALP and LMA. Finally, we just mention worthy to pursuit future research directions. Our knowledge acquisition approaches are not intended to be used in any situation. The application of each of them is related to the type of the dialogue [15] occurring among agents. The detailed analysis, however, will be left to the future work.

B: I have not become thin. Mr. A: Now that you haven’t, I may not become thin either. After such an argumentation, we as well as Mr. A would usually correct or change our previous belief that the soap is effective, into its contrary. Like this, we may correct wrong knowledge and learn counter-arguments. Technically, the first assertion in Mr. A’s locution is considered as having an assumption ”the soap is effective to slim”. And Mr. B argues against Mr. A. It amounts to undercut in terms of LMA. 1, we formally capture this type of learning by argumentation, calling it knowledge acquisition induced by the undercut of assumptions.

We have the sound and complete dialectical proof theory for the argumentation semantics JArgs,x/y [14]. In the learning process described in the next section, we will often take into account deliberate or thoughtful agents who put forward deliberate arguments in the dialogue. Definition 18 (Deliberate argumentation). , KBn }, and Argsi be a set of arguments under KBi . A dialogue is called a deliberate argumentation if and only if arguments put forward in each move of the dialogue belong to JArgsi ,x/y .

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