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A Library Hierarchy for Implementing Scalable Parallel Search Algorithms T. K. Ralphs∗, L. Lad´anyi†, and M. J. Saltzman‡ Revised February 1, 2004 Abstract
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Document Date: 2016-03-26 12:56:25


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City

Bethlehem / /

Company

IBM / /

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Event

Reorganization / /

Facility

Library Design / BiCePS library / Abstract Library / Clemson University / Lehigh University / /

IndustryTerm

large-scale parallel search / distributed-memory computing environments / search process / search node / tree search / parallel algorithms / feasible integer solutions / parallel search handling / software employing branch / tree search algorithms / end product / search order / bound algorithms / separation algorithms / software packages / data-intensive algorithms / related software / knowledge broker / search tree node / bound algorithm / feasible solution / integer solutions / important applications / telecommunications / search nodes / data-intensive applications / sequential algorithm / basic search tree management / search tree / fractional solution / parallel algorithm / search tree nodes / search handling layer / primal solution / /

NaturalFeature

ALPS / /

Organization

National Science Foundation / S. Suppose / Lehigh University / Clemson University / Department of Industrial and Systems Engineering / /

Person

Idle Time (Handshaking) / /

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Position

designated worker / Traveling Salesman / knowledge-base manager / knowledge broker / /

ProgrammingLanguage

C++ / /

ProvinceOrState

New York / Pennsylvania / South Carolina / /

Technology

underlying algorithm / tree search algorithms / API / parallel algorithm / implementing parallel BCP algorithms / sequential algorithm / load balancing / data-intensive algorithms / separation algorithms / related algorithm / BCP algorithm / /

URL

http /

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