Over the past few years GPU (Graphics Processing Unit) becomes competitive computing hardware against the CPU (Central Processing Unit) because of its rapid increasing performance and capabilities. Recent improvements of GPU’s highly parallel programming capabilities lead to mapped wide variety of general purpose complex application with tremendous performance improvements. This attempt on GPU is also called as General Purpose Computation on Graphics Processor (GPGPU) and this feature leads GPU to the next generation of high performance computing
Despite the relatively recent introduction of General Purpose GPU hardware, various kinds of applications have begun to take the advantage of GPU. GPU’s high performance techniques proven that it can be used successfully in diverse variety of application areas such as image processing, video processing, scientific computing, bioinformatics, computer vision, neural networks, database operations etc. Because of this reason many researches are going in the direction of GPU in various application domains to find even greater applicability in future.
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