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Doubling the Performance of Python/NumPy with less than 100 SLOC Simon A. F. Lund, Kenneth Skovhede, Mads R. B. Kristensen, and Brian Vinter Niels Bohr Institute, University of Copenhagen, Denmark {safl/skovhede/madsbk/v
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Database Systems / AMD / /

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Facility

University of Copenhagen / NumPy library / Brian Vinter Niels Bohr Institute / /

IndustryTerm

larger applications / performance computing / multiuser systems / scientific applications / eviction algorithms / adopted technique software victimcaching / virtual storage systems / knearest-neighbor search / benchmark applications / wellknown algorithms / name software victim-caching / replacement algorithms / adaptive algorithms / replacement algorithm / list-based lookup search / simplest algorithms / http /

MarketIndex

Jacobi Stencil / /

MusicGroup

A. F. / /

OperatingSystem

Linux / Ubuntu / /

Organization

Danish Strategic Research Council / Program Committee for Strategic Growth Technologies / Brian Vinter Niels Bohr Institute / University of Copenhagen / /

Person

Cache / Kenneth Skovhede / Brian Vinter Niels / /

Position

application programmer / programmer / /

ProgrammingLanguage

C / Python / Fortran / C++ / /

PublishedMedium

Linux Journal / /

Technology

virtual machine / Linux / Information Technology / six wellknown algorithms / C. Algorithms Buffer management algorithms / cache memory / replacement algorithms / operating system / operating systems / replacement algorithm / Java / simplest algorithms / http / paging / caching / simulation / eviction algorithms / /

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http /

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