GPU computing – high performance computing at its best
A graphics processing unit (GPU) is a RISC processor used in video game systems and computers for calculating the graphical output for monitors. GPUs are used at manipulating and displaying computer graphics. GPUs are a part of mother board or they can come along with video cards. Graphic accelerators are a part of GPU also. High performance GPU computing involves solving advanced computational problems using supercomputers and computer clusters. GPU computing includes all tasks that a graphics processing unit can calculate.
In GPU computing the CPU calculations are replaced by Graphics Processing Units. Migrating large scale algorithms and entire kernel onto the GPU co-processors help in arriving at the answer much faster and thus decreases the processing time. GPUs are never a complete replacement for CPUs but complementary. Parallel operation of CPU and GPU has found to increase the performance. CPU’s offload the tasks which are better performed by GPU leading to high performance computing. GPU excel CPU’s in certain computational tasks.
A GPU’s processing power is mostly used while dealing with 3D scenes and video. The GPU computing for a graphics task such as rendering a 3D scene involves many stages like vertex processing, vertices grouping, fragment processing and mathematical operations. GPU computing is also known as General Purpose Computation on Graphics Processing Unit. Acceleration of video and picture editing, artificial intelligence and physics calculations come under the tasks of GPU computing.