IMPROVING PARALLEL PROGRAMMING IN THE COMPUTE UNIFIED DEVICE ARCHITECTURE USING THE UNIFIED MEMORY FEATURE

Alexandru Pîrjan () and Dana-Mihaela Petroşanu ()
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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

Journal of Information Systems & Operations Management, 2014, vol. 8, issue 2, 352-362

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).

Keywords: CUDA; parallel programming; Unified Memory; Graphics Processing Unit; Central Processing Unit (search for similar items in EconPapers)
Date: 2014
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