Are you around at ISC and have an opinion on portable open standards? Then you should join the discussion with other professionals at ISC. Some suggestions for discussions: (non)-preference for open standards like OpenCL, OpenMP, HSA and OpenACC. Portability versus performance. Using scripting languages in HPC, like Python. Below info might change, because a map is never reality!

Vincent Hindriksen will be walking around at ISC from 20 to 22 June. With me I bring our latest brochure, some examples of great optimisations and some Dutch delicacies. Also we will also have some exciting news with an important partner – stay tuned! It will be a perfect time to discuss how StreamHPC can help you solve tough

We have been talking about GPUs, FPGAs and CPUs a lot, but there are more processors that can solve specific problems. This time I’d like you to give a quick introduction to grid-processors. Grid-processors are different from GPUs. Where a multi-core GPU gets its strength from being able to compute lots of data in parallel (SIMD data-parallellism), a grid-processors

OpenCL header files When you develop professional software, it is a best practise to have external header files fixed, to have versioning under full control. This way you don’t get the surprises when your colleague has another OpenCL SDK installed. Luckily the Khronos Group has put all version of the OpenCL header files on Github, so you can easily download

Want to get an overview of what Heterogeneous Systems Architecture (HSA) does, or want to know what terminology has changed since version 1.0? Read further. Back in 2012 the goals for HSA were high. The group tried to design a system where CPU and GPU would work together in an efficient way. In the 2013/2014 time-frame you’ll find lots of articles around the

10 years ago we had CPUs from Intel and AMD and GPUs from ATI and NVidia. There was even another CPU-makers VIA, and GPU-makers S3 and Matrox. Things are different now. Below I want to shortly discuss the most noticeable processors from each of the big three. The reason for this blog-post is that many processors are relatively unknown, and several

During the panel discussion some very interesting questions were asked, I’d like to share with you. Should the Khronos group poll the community more often about the future of OpenCL? I asked it on twitter, and this is the current result: Khronos needs more feedback from OpenCL developers, to better serve the user base. Tell

Both CUDA and OpenCL are well-known GPGPU-languages. Unfortunately there are some slight differences between the languages, which are shown below. You might have heard of HiP, the language that AMD made to support both modern AMD Fiji GPUs and CUDA-devices. CUDA can be (mostly automatically) translated to HiP and from that moment your code also

The coming month we’re travelling every week. This generates are a lot of opportunities where you can meet the StreamHPC team! For appointments, send an email to contact@streamhpc.com. Meet us at ParallelCon (6 April 2016, Heidelberg, Germany). Besides the crash course (see below), we also have a talk on Vulkan. Crash Course OpenCL @ ParallelCon (8 April 2016, Heidelberg, Germany). This is part

If one company is bad at bragging, then it’s AMD. It’s two main competitors are a lot better in that – NVIDIA even bragged about their upcoming GPUs having HBM. So I was surprised that recently I encountered a nice infographic, where AMD was actually bragging. And they deserved to do it! I wanted to have comparisons with Intel/Micron’s