During the last training I got a question how to do malloc in the kernel. It was one of those good questions, as it gives another view on a basic concept of OpenCL. Simply put: you cannot allocate (local or global) memory from within the kernel. Luckily it’s possible, but it is somewhat hidden in

For those working in a research-department at a company or university within the EU, Horizon 2020 might be a bit of a familiar sound. For us this is an important program and a source possibilities for collaboration in the coming years. Our expertise in enabling ultra-fast computations, combined with your expertise can make Europe more competitive. We

Every second Monday of the month StreamHPC offers an OpenCL training in Mathematics or Media-operations. The target is OpenCL 1.2 (or 1.1 when NVIDIA is discussed). OpenCL 2.0 trainings will start in Q2/Q3, or when on request. All trainings will be given by experienced OpenCL developers/trainers. Trainings Trainings take 3½ days, from basics on the

Unluckily I am not at SC13, so I’ll enjoy from a distance. Luckily I don’t miss one of the most beautiful 15km runs in the Netherlands. When there is more news, I’ll add to this post – below is mostly taken from the Khronos website and the SC2013 website. OpenCL Booth Meet members of the

Let the competition on large memory GPUs begin! Some algorithms and continuous batch processes will have the joy of the extra memory. For example when inverting a large matrix or doing huge simulations, you need as much memory as possible. or to avoid memory-bank conflicts by duplicating data-objects (possible only when the data is in

I’d like to share two images. The following image is being shared for quite some time, to show the technical capabilities of CUDA. I replaced “CUDA source” by “OpenCL source” and worked from there. Result: I know it is not optimised for a certain architecture, but neither is the CUDA-source for the two extra targets.

OpenCL on ARM is hot, but it just is getting started. Currently it takes some time to find needed information about the processors concerning For OpenCL-discussions the best place is the Khronos OpenCL board. So where can you go when you want to ask questions specifically on ARM-based GPUS like MALI, PowerVR, Adreno and Vivante?

Guest-blogger Jaap van de Loosdrecht wants to share his thesis with you. He leads the Centre of Expertise in Computer Vision department at NHL University of applied sciences and is the owner of his own company, and still managed to study and write a MSc-thesis. The thesis is interesting because it extensively compares OpenCL with