This repository contains code samples used at EUROfusion Webinar 5. Recording of the webinar can be found at https://www.youtube.com/watch?v=YD_QO5Ilz2U
- Give an example code of a Vulkan Compute application with comments
- Show importance of memory coalescing and shared memory bank conflicts. More information on this topic can be found here: https://developer.nvidia.com/blog/efficient-matrix-transpose-cuda-cc/
Sample CMakeLists.txt file configures project based on VulkanTransposition.c file with shaders located in shaders/ folder.
Vulkan Compute transposition sample has a command-line interface with the following set of commands:
-h: print help
-devices: print the list of available GPU devices
-d X: select GPU device (default 0)
-c X: specify how much memory is coalesced per transfer: 4-128 bytes (default Nvidia: 32, Intel/AMD: 64, default: 64)
-size X: specify square array size: should be >= coalescedMemory (default 2048)
Initial version of Vulkan Compute transposition sample is developed by Tolmachev Dmitrii
E-mail 1: dtolm96@gmail.com