FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1586914650> ?p ?o ?g. }

• W1586914650 endingPage "7" @default.
• W1586914650 startingPage "7" @default.
• W1586914650 abstract "Typically, scientists with computational needs prefer to use high-level languages such as Python or MATLAB; however, large computationally-intensive problems must eventually be recoded in a low level language such as C or Fortran by expert programmers in order to achieve sufficient performance. In addition, multiple strategies may exist for mapping a problem onto parallel hardware depending on the input data size and the hardware parameters. We show how to preserve the productivity of high-level languages while obtaining the performance of the best low-level language code variant for a given hardware platform and problem size using SEJITS, a set of techniques that leverages just-in-time code generation and compilation. As a case study, we demonstrate our technique for Gaussian Mixture Model training using the EM algorithm. With the addition of one line of code to import our framework, a domain programmer using an existing Python GMM library can run her program unmodified on a GPU-equipped computer and achieve performance that meets or beats GPU code hand-crafted by a human expert. We also show that despite the overhead of allowing the domain expert's program to use Python and the overhead of just-in-time code generation and compilation, our approach still results in performance competitive with hand-crafted GPU code." @default.
• W1586914650 created "2016-06-24" @default.
• W1586914650 creator A5014047489 @default.
• W1586914650 creator A5039453861 @default.
• W1586914650 creator A5048743616 @default.
• W1586914650 creator A5062323483 @default.
• W1586914650 creator A5077202069 @default.
• W1586914650 creator A5088855767 @default.
• W1586914650 date "2011-05-26" @default.
• W1586914650 modified "2023-09-26" @default.
• W1586914650 title "CUDA-level performance with python-level productivity for Gaussian mixture model applications" @default.
• W1586914650 cites W111272379 @default.
• W1586914650 cites W151246516 @default.
• W1586914650 cites W1554663460 @default.
• W1586914650 cites W1598886868 @default.
• W1586914650 cites W2026049208 @default.
• W1586914650 cites W2099625934 @default.
• W1586914650 cites W2102182691 @default.
• W1586914650 cites W2118324422 @default.
• W1586914650 cites W2136952590 @default.
• W1586914650 cites W2138924491 @default.
• W1586914650 cites W2149103675 @default.
• W1586914650 cites W2164106630 @default.
• W1586914650 cites W2948772194 @default.
• W1586914650 hasPublicationYear "2011" @default.
• W1586914650 type Work @default.
• W1586914650 sameAs 1586914650 @default.
• W1586914650 citedByCount "6" @default.
• W1586914650 countsByYear W15869146502012 @default.
• W1586914650 countsByYear W15869146502014 @default.
• W1586914650 crossrefType "proceedings-article" @default.
• W1586914650 hasAuthorship W1586914650A5014047489 @default.
• W1586914650 hasAuthorship W1586914650A5039453861 @default.
• W1586914650 hasAuthorship W1586914650A5048743616 @default.
• W1586914650 hasAuthorship W1586914650A5062323483 @default.
• W1586914650 hasAuthorship W1586914650A5077202069 @default.
• W1586914650 hasAuthorship W1586914650A5088855767 @default.
• W1586914650 hasConcept C111919701 @default.
• W1586914650 hasConcept C113775141 @default.
• W1586914650 hasConcept C119263510 @default.
• W1586914650 hasConcept C124577441 @default.
• W1586914650 hasConcept C133162039 @default.
• W1586914650 hasConcept C173608175 @default.
• W1586914650 hasConcept C199360897 @default.
• W1586914650 hasConcept C199519371 @default.
• W1586914650 hasConcept C26517878 @default.
• W1586914650 hasConcept C2777904410 @default.
• W1586914650 hasConcept C2778119891 @default.
• W1586914650 hasConcept C2778241615 @default.
• W1586914650 hasConcept C2778514511 @default.
• W1586914650 hasConcept C2780365114 @default.
• W1586914650 hasConcept C34165917 @default.
• W1586914650 hasConcept C41008148 @default.
• W1586914650 hasConcept C43126263 @default.
• W1586914650 hasConcept C50033165 @default.
• W1586914650 hasConcept C519991488 @default.
• W1586914650 hasConceptScore W1586914650C111919701 @default.
• W1586914650 hasConceptScore W1586914650C113775141 @default.
• W1586914650 hasConceptScore W1586914650C119263510 @default.
• W1586914650 hasConceptScore W1586914650C124577441 @default.
• W1586914650 hasConceptScore W1586914650C133162039 @default.
• W1586914650 hasConceptScore W1586914650C173608175 @default.
• W1586914650 hasConceptScore W1586914650C199360897 @default.
• W1586914650 hasConceptScore W1586914650C199519371 @default.
• W1586914650 hasConceptScore W1586914650C26517878 @default.
• W1586914650 hasConceptScore W1586914650C2777904410 @default.
• W1586914650 hasConceptScore W1586914650C2778119891 @default.
• W1586914650 hasConceptScore W1586914650C2778241615 @default.
• W1586914650 hasConceptScore W1586914650C2778514511 @default.
• W1586914650 hasConceptScore W1586914650C2780365114 @default.
• W1586914650 hasConceptScore W1586914650C34165917 @default.
• W1586914650 hasConceptScore W1586914650C41008148 @default.
• W1586914650 hasConceptScore W1586914650C43126263 @default.
• W1586914650 hasConceptScore W1586914650C50033165 @default.
• W1586914650 hasConceptScore W1586914650C519991488 @default.
• W1586914650 hasLocation W15869146501 @default.
• W1586914650 hasOpenAccess W1586914650 @default.
• W1586914650 hasPrimaryLocation W15869146501 @default.
• W1586914650 hasRelatedWork W111272379 @default.
• W1586914650 hasRelatedWork W1609750658 @default.
• W1586914650 hasRelatedWork W2029455112 @default.
• W1586914650 hasRelatedWork W2067145686 @default.
• W1586914650 hasRelatedWork W2081517533 @default.
• W1586914650 hasRelatedWork W2100232637 @default.
• W1586914650 hasRelatedWork W2113896283 @default.
• W1586914650 hasRelatedWork W2118324422 @default.
• W1586914650 hasRelatedWork W2138924491 @default.
• W1586914650 hasRelatedWork W2146099733 @default.
• W1586914650 hasRelatedWork W2207795035 @default.
• W1586914650 hasRelatedWork W22174341 @default.
• W1586914650 hasRelatedWork W2785183158 @default.
• W1586914650 hasRelatedWork W2797202077 @default.
• W1586914650 hasRelatedWork W2898295052 @default.
• W1586914650 hasRelatedWork W2946873480 @default.
• W1586914650 hasRelatedWork W3093179495 @default.
• W1586914650 hasRelatedWork W3132301044 @default.
• W1586914650 hasRelatedWork W3161976119 @default.
• W1586914650 hasRelatedWork W2183107717 @default.

• next