USING NDIVIA GRAPHICAL PROCESSING UNITS FOR HIGH PERFORMANCE COMPUTING

Abstract

At the end of 2006 NVIDIA introduced a new generation of graphical processing units (GPUs) (the so called G80 architecture). These GPUs are more powerful than any GPUs released before; they offer up to 350 billion floating-point operations per second (GFLOP/s) in certain situations. With the introduction of this hardware, NVIDIA released a new programming environment that makes it easier for programmers to use the GPU for other tasks than graphics. This software environment is called Compute Unified Device Architecture (CUDA) and interacts closely with the hardware characteristics of the G80 architecture. This article aims to introduce a new approach in high-performance computing, using environment of high performance computing on graphical processing units using CUDA technology of NVIDIA to solve big problems with high computing complexity.