For who hasn’t seen the latest addition to our knowledge base, we have added a list of all (almost) available OpenCL-SDKs. You can find it in the menu under “Knowledge Base” -> “SDKs…“. This list shows how important OpenCL is getting, as developers now can write compute-intensive parallel software on CPUs, GPUs, ARM-based accelerators and even
All OpenCL SDKs now in our Knowledge Base Read More »
In many hard sciences focus is on formulas and text, whereas images are mainly graphs or simplified representations of researched matters. Beautiful visualisations are mainly artist’s impressions in popular media targeting hobby-scientists. When Cyrille Favreau made the first good-working version of his real-time GPU-accelerated raytracer, he saw potential in exactly this area: beautiful, realistic visualisations
Scientific Visualisation of Molecules Read More »
The question we aim to answer in this post is: “How to do you make software that performs on several platforms?”. Note: This article is not fully finished – I’ll add more information during the coming months. It’s busy here! Even in many Java-code you’ll find hard-coded filename-delimiters in the file-names, which then work on one
Targetting various architectures in OpenCL and CUDA Read More »
AFDS was full of talks on OpenCL. You missed them, just like me? Then you will be happy that they put many videos on Youtube! Enjoy watching! As all videos are around 40 minutes, it is best to take a full day for watching them all. The first part is on openCL itself, second is
OpenCL Videos of AMD’s AFDS 2012 Read More »
On 15 November 2011 Altera announced support for OpenCL. The time between announcements for having/getting OpenCL-support and getting to see actually working SDKs takes always longer than expected, so to get this working on FPGAs I did not expect anything before 2013. Good news: the drivers are actually working (if you can trust the demos
OpenCL on Altera FPGAs Read More »
Thursday 4 October I talk on mobile compute at Hackers&Founders Amsterdam on what mobile compute can do. The goal is to initiate new ideas for start-ups, as not many know their mobile phone and tablet is very powerful and next year can be used for compute intensive tasks. The other talk is from Mozilla on
4 October talk in Amsterdam on mobile compute Read More »
Let’s approach the concept of programming through looking at the brain, the code and the computer. The idea of a program lives in the brain of a programmer. The way to get the program to the computer is using a system process called coding. When the program coded on the computer and the program embedded
Avoiding false dependencies in only two steps Read More »
This is a message to GPU-programmers only. It is a simple question, and has many answers: what are GPU-brains? How is it possible your brain can code GPUs and only few friends and colleagues understand what you are doing? Is it thinking in parallel, focusing on one kernel and having the architecture in the back of the head.
Do you have GPU-brains? A poster-initiative. Read More »
Recently AMD announced their new FirePro GPUs to be used in servers: the S9000 (shown at the right) and the S7000. They use passive cooling, as server-racks are actively cooled already. AMD partners for servers will have products ready Q1 2013 or even before. SuperMicro, Dell and HP will probably be one of the first. What does
AMD’s answer to NVIDIA TESLA K10: the FirePro S9000 Read More »
If you are looking for the samples in one zip-file, scroll down. The removed OpenCL-PDFs are also available for download. This sentence “NVIDIA’s Industry-Leading Support For OpenCL” was proudly used on NVIDIA’s OpenCL page last year. It seems that NVIDIA saw a great future for OpenCL on their GPUs. But when CUDA began borrowing the idea
NVIDIA ended their support for OpenCL in 2012 Read More »