Auto Conversion of Serial C Code Into Cuda-C-Code for Faster Execution Utilizing GPU

Provided by: International Journal of Applied Information Systems (IJAIS)
Topic: Enterprise Software
Format: PDF
The primary accusative of this implementation is to expand the use of NVIDIA Graphics Processing Units (GPUs) to accelerate the all-purpose applications outside the graphics arena. CUDA is a programming language particularly designed for parallel computation to work. Now-a-day, c programming is glaringly used in industries to develop general purpose applications. Normally, a c program instruction executes sequentially and do not support data parallel computation, it increases the time complexity of a program. CUDA renders c like interface, configured for programming NVIDIA GPU which supports parallel computation of different parts of same instructions on different cores of GPU.

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