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Simulation-based Performance Analysis and Tuning for a Two-level Directly Connected System Ehsan Totoni? , Abhinav Bhatele† , Eric J. Bohm? , Nikhil Jain? , Celso L. Mendes? , Ryan M. Mokos‡ , Gengbin Zheng? and Laxm
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Document Date: 2011-11-02 12:06:20


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City

Shanghai / Urbana / Washington / DC / Berlin / Brussels / /

Company

HPCMP Users Group / IBM / Distributed Systems / Lawrence Livermore National Laboratory / A2A / /

Country

Belgium / United States / China / /

Currency

USD / /

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Event

Business Partnership / Natural Disaster / /

Facility

University of Illinois / /

IndustryTerm

physical processor / node-level all-to-all network / visualization tools / typical networks / pairwise-exchange algorithm / software co-design / target processors / day parallel applications / 4K processors / software developers / pairwiseexchange algorithm / all-to-all algorithm / large systems / parallel applications / software stack / important applications / sustained-petascale computing project / runtime systems / particular network / petascale systems / physical processors / /

OperatingSystem

Linux / /

Organization

National Science Foundation / Collective Acceleration Unit / National Center for Supercomputing Applications / University of Illinois / Department of Computer Science / US Federal Reserve / Institute for Computer Sciences / Social-Informatics and Telecommunications Engineering / IEEE Computer Society / /

Person

Nikhil Jain / Ryan M. Mokos / R. Arimilli / V / Celso L. Mendes / Eric J. Bohm / /

Position

Director / /

Product

Ranger / POWER7 processors / BigSim / POWER7 / /

ProgrammingLanguage

C / DC / /

ProvinceOrState

Illinois / Manitoba / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

POWER7 processors / 4K processors / Linux / pairwise-exchange algorithm / same processor / operating systems / all-to-all algorithm / Hub chip / pairwiseexchange algorithm / four POWER7 chips / target processors / 32 / 768 processors / Hub chips / physical processor / Simulation / /

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