Some examples and use cases from the internet:

Some examples and use cases from the internet:

• Run Built
• 07
• Any toolbox function that accepts a gpuArray object as an input can work on a GPU. For example, you can pass a gpuArray to the imfilter function to perform the  ...
• 14. You've heard about running things on a graphics card, but have you tried it? All you need to taste the speed is a Nvidia ...
• In Functions on a GPU; On this page; MATLAB Functions with gpuArray Arguments ... Run Built
• Establish Arrays on a GPU; On this page; Transfer Arrays Between Workspace and .... For more information about generating random numbers on a GPU, and a  ...
• In Functions on a GPU ... Sparse Arrays on a GPU.
• Running things on a GPU. 2013

• Indexing, dimension
• time reshaping will be equally fast on GPU as on CPU. Summation over rows/columns of tensors can be a little ...
• SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list ...
• Jul 14, 2013 ... See the appendix for more info on GPU hardware. Software we'll be using is Python. On CPU it employs one core*. That is OK in everyday use ...
• shuffling and constant
• GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details on configuration used, view  ...