Quickly evaluate kernels, analyze and visualize results, write test harnesses to validate results
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 29 Apr 2013 | Linda Webb |
MATLAB supports CUDA kernel development by providing a language and development environment for quickly evaluating kernels, analyzing and visualizing kernel results, and writing test harnesses to validate kernel results. By Daniel Armyr and Dan Doherty, MathWorks |
| Tag | Applied By | Date/Time |
|---|---|---|
| gpuarray | Linda Webb | 29 Apr 2013 at 1:57pm |
| matlab profiler | Linda Webb | 29 Apr 2013 at 1:57pm |
| white balance algorithm | Linda Webb | 29 Apr 2013 at 1:57pm |
| cuda c | Linda Webb | 29 Apr 2013 at 1:57pm |
| gpu computing | Linda Webb | 29 Apr 2013 at 1:57pm |
| white balancing | Linda Webb | 29 Apr 2013 at 1:57pm |
| image processing | Linda Webb | 29 Apr 2013 at 1:57pm |
| cuda kernel | Linda Webb | 29 Apr 2013 at 1:57pm |
| gpu | Linda Webb | 29 Apr 2013 at 1:57pm |
| nvidia | Linda Webb | 29 Apr 2013 at 1:57pm |
| cuda | Linda Webb | 29 Apr 2013 at 1:57pm |