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GPU computing

GPU computing

The use of GPU and CPU to do compute-intensive assignments faster than conventional CPUs

GPU computing is the use of graphics processing units (GPU) and central processing units (CPU) to perform scientific calculations, engineering computation, and the processing of large volumes of data. GPUs have massive-parallel architecture. By using GPUs, the completion of computationally intensive assignments that benefit from parallel computation is faster compared with conventional central processing units (CPUs).

GPU computing is recognized for having enormous potential in other fields such as medical imaging. Due to the increased clock speeds now present in modern GPUs coupled with optimized parallel architectures, computer scientists and researchers have begun using GPU computing for some high performance computing (HPC) that was traditionally performed by a CPU utilizing specialized chips known as general-purpose computing on graphics processing units (GPGPU).

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GPU Computing

John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone and James C. Phillips

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