ADVANCED FEATURES OF NVIDIA KEPLER ARCHITECTURE AND PARALLEL COMPUTATION PLATFORM CUDA FOR DEVELOPING SCIENTIFIC COMPUTE-INTENSIVE APPLICATIONS | Zendy

V.A. Dudnik | Zendy; V.I. Kudryavtsev | Zendy; S.A. Us | Zendy; M.V. Shestakov | Zendy

Open Access

ADVANCED FEATURES OF NVIDIA KEPLER ARCHITECTURE AND PARALLEL COMPUTATION PLATFORM CUDA FOR DEVELOPING SCIENTIFIC COMPUTE-INTENSIVE APPLICATIONS

Author(s) -

V.A. Dudnik,

V.I. Kudryavtsev,

S.A. Us,

M.V. Shestakov

Publication year - 2019

Publication title -

problems of atomic science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 17

eISSN - 1562-6016

pISSN - 1682-9344

DOI - 10.46813/2019-121-105

Subject(s) - cuda , computer science , parallel computing , computation , kepler , set (abstract data type) , computer architecture , architecture , fortran , realization (probability) , computational science , instruction set , programming language , mathematics , art , stars , statistics , visual arts , computer vision

The paper describes additional features oered by new Kepler architecture of NVIDIA graphic processors, and their usage for creating high performance programs in a wide range of scientic compute-intensive applications. Recommendations are given for their use at realization of sci-tech computation algorithms by means of graphic processors. New capabilities of the parallel computation platform CUDA are also described, in particular, regarding a set of program development tool extensions for the Fortran, C and C++ languages. The extended capabilities make it possible to minimize the time of application development and to increase the programming productivity.

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