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ALPS: A Framework for Implementing Parallel Search Algorithms Y. Xu∗, T. K. Ralphs†, L. Lad´anyi‡, and M. J. Saltzman§ May 13, 2004 Abstract
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Document Date: 2016-03-26 12:56:25


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Company

IBM / ALPS / Red Hat / Operations R & D SAS Institute Inc. / /

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Event

Product Recall / Reorganization / Product Issues / /

Facility

Abstract Library / Clemson University / Lehigh University / COIN-OR Cut Generation Library / using the COIN-OR Cut Generation Library / /

IndustryTerm

by-product / search process / tree search / node processing / search-tree nodes / tree search algorithm / tree search algorithms / cut algorithm / search strategy / search graph / communication protocol / fewer search-tree nodes / middle management / tree search methodology / search order / search nodes decreases / knowledge broker / bound algorithm / good feasible solutions / search algorithms / data intensive algorithms / communications bottleneck / sample applications / software frameworks / large node processing time / node processing times / negligible and good feasible solutions / search tree / parallel algorithm / search handling layer / feasible solutions / increased computing resources / /

OperatingSystem

Red Hat Linux / /

Organization

Lehigh University / Clemson University / Department of Industrial and Systems Engineering / /

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Position

driver / broker / requesting worker / The Master-Hub-Worker / knowledge broker / loaded worker / /

Product

Load Balancing / Linux / /

ProgrammingLanguage

C++ / /

Technology

RAM / cut algorithm / underlying algorithm / Linux / tree search algorithms / parallel algorithm / operating system / tree search algorithm / load balancing / communication protocol / 1 Introduction Tree search algorithms / data intensive algorithms / parallelizing tree search algorithms / 1.1 Tree Search Algorithms / /

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