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Improving Parallel Programming In The Compute Unified Device Architecture Using The Unified Memory Feature

Author

Listed:
  • Alexandru Pîrjan

    (Faculty of Computer Science for Business Management, Romanian-American University, 1B, Expozitiei Blvd., district 1, code 012101, Bucharest, Romania)

  • Dana-Mihaela Petroşanu

    (Department of Mathematics-Informatics I, University Politehnica of Bucharest, 313, Splaiul Independentei, district 6, code 060042, Bucharest, Romania)

Abstract

One of the most important improvements within the Compute Unified Device Architecture (CUDA) 6.5 version, launched in August 2014, is the support for Unified Memory, a feature that simplifies the memory management, by providing a unified pool of managed memory, shared between the Central Processing Unit (CPU) and the Graphic Processing Unit (GPU).

Suggested Citation

  • Alexandru Pîrjan & Dana-Mihaela Petroşanu, 2014. "Improving Parallel Programming In The Compute Unified Device Architecture Using The Unified Memory Feature," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 352-362, December.
    • Handle: RePEc:rau:journl:v:8:y:2014:i:2:p:352-362
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI14/JISOM-WI14-A14.pdf
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