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Cascaded Execution: Speeding Up Unparallelized Execution on Shared-Memory Multiprocessors Ruth E. Anderson, Thu D. Nguyen, and John Zahorjan Department of Computer Science and Engineering, BoxUniversity of Washin
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Document Date: 2003-05-13 13:55:18

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File Size: 100,46 KB

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Company

Microsoft Corporation / Apple Computer Inc. / Intel Corporation / Amdahl / /

Event

Reorganization / /

Facility

University of Washington / /

IndustryTerm

benchmark applications / target processor / otherwise idle processors / consistent shared-memory multi-processors / parallel applications / scalar processors / sufficient processors / idle processors / multi-processors / /

OperatingSystem

IRIX / /

Organization

National Science Foundation / University of Washington / Seattle / Shared-Memory Multiprocessors Ruth E. Anderson / Thu D. Nguyen / and John Zahorjan Department of Computer Science and Engineering / /

Person

John Zahorjan / /

Position

representative / system scheduler / /

Product

Pentax K-x Digital Camera / Microsoft Corporation Portable Audio Device / wave5 application / MIPSpro 7.2 Fortran / wave5 / /

ProgrammingLanguage

Fortran / Onyx / /

ProvinceOrState

Manitoba / Washington / /

Technology

8 R10000 processors / idle processors / three processors / target processor / 8 194 MHz IP25 MIPS R10000 processors / idle parallel section Processor / one processor / four processors / parallel section Processor / 1 Processor / otherwise idle processors / sequentially consistent shared-memory multi-processors / 4 200 MHz Pentium Pro processors / 3 2 4 3 4 5 6 7 8 Processors Processors / super scalar processors / 4 Pentium Pro processors / 3 Processor / /

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