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=Introduction= | =Introduction= | ||
==What is GPU ?== | |||
GPU, or a graphics processing unit, is a single-chip processor that performs rapid mathematical calculations, primarily for the purpose of rendering images. | |||
However, in the recent years, such capability is being harnessed more broadly to accelerate computational workloads of the cutting-edge scientific research areas. | |||
==What is CUDA ?== | ==What is CUDA ?== | ||
'''CUDA''' = '''C'''ompute '''U'''nified '''D'''evice '''A'''rchitecture | '''CUDA''' = '''C'''ompute '''U'''nified '''D'''evice '''A'''rchitecture | ||
Provides access to instructions and memory of massively parallel elements in GPU. | |||
Another definition: CUDA is scalable parallel programming model and software environment for parallel computing. | |||
== Terminology == | |||
* Bulleted list item | |||
Host – The CPU and its memory (host memory) | |||
Device – The GPU and its memory (device memory) |