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GPU Workshop Sample Code
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This sample demonstrates the __device__ qualifier | |
| This sample queries the properties of the CUDA devices present in the system | |
| Utility functions for devQuery.cu | |
| This sample demonstrates the use of mapped variables | |
| Option pricing code for model proposed by Christoffersen et al (2012, JFE) | |
| Functions for generating multiple streams of random numbers on the GPU | |
| This sample demonstrates code for performing prefix scans using CUDA | |
| Compute blockwise sums of a vector x of length n | |
| Reduces M x N matrix. Returns column results for a generic reduction operation | |
| Compute column sums of a M x N array. Each column is reduced by several thread blocks | |
| This example demonstrates several kernels that do simple math operations | |
| Simple CUDA kernel for demonstrating Matlab GPU capabilities | |
| Demonstrates random number generation | |
| Demonsrates Thrust library | |
| Simple example of a kernel to add two vectors elementwise |
1.8.4