Talk about GPU computing with CUDA and OpenCL
In March 2017 I gave a talk about GPU computing with CUDA and OpenCL at the para//el 2017 conference in Heidelberg, Germany.
All posts tagged with #opencl in chronological order with newest first.
In March 2017 I gave a talk about GPU computing with CUDA and OpenCL at the para//el 2017 conference in Heidelberg, Germany.
The implementation of the heat diffusion equation on multiple GPUs is explained in the talk (in german).
What makes “OpenCL in Action: How to Accelerate Graphics and Computation” special is that the author, Matthew Scarpino, truly tries to explain the programs. You learn the reasons behind his...
If you want to bring a bit of systematism to your parallel programming skills, “Structured Parallel Programming: Patterns for Efficient Computation” is the book to start with.
At the parallel 2012 I presented my experiences and learnings I gathered in GPU computing projects.
What distinguishes “Programming Massively Parallel Processors: A Hands-On Approach” from other books is the precise description of how the hardware works.
The OpenCL standard is not always easy and the technical proof was a challenge, because the code had to run on different os'es and platforms.