Deep Learning, Machine Learning, Gpu, Cuda, AI.
demonstrate the GPU’s parallelization capability. Also, when dealing with deep learning problem, we often handle massive vectors with millions of parameters. However, if we try settings, for example, N = 500000 and run the kernel with <<<1, 500000>>> using the example above, it will throw an error.