Programmers know the value of everything and the costs of nothing. I saw this quote a while back and loved it immediately. The quote by Alan Perlis is originally about Perl LISP-programmers, but only highly trained HPC-programmers seem to have obtained this basic knowledge well. In an interview with Andrew Richards of Codeplay I heard
How expensive is an operation on a CPU? Read More »
Just a quick teaser. More materials (photos, sheets, videos) are coming soon. Don’t forget to subscribe to the mailing-list of Platform Parallel Netherlands to hear about more events around parallel programming in the Netherlands. Click on the icon at bottom-right to watch the video full-screen. If you have made photos during the day, please send them. Music
GPGPU-day materials – teaser Read More »
More than two years ago, on 13 January 2010, I wrote my first blog-post. Four months later StreamComputing (redacted: rebranded to StreamHPC in 2017) was both official and unknown. I want to share with you my personal story on how I got to start-up this company. The push-factor I wanted to create a company which was
StreamComputing is 2 years old! A personal story. Read More »
The printf-funtion in kernels isn’t the solution to everything, so hence profilers and debuggers specially tailored for GPU-programming. On Windows there is a lot of choice, but mostly only if you have a paid version of Visual Studio. On Linux you have GDB, but that program is not really user-friendly for the GUI-lovers. For AMD there is
AMD gDEBugger 6.2 for Linux Read More »
If you want to see what is coming up in the market of consumer-technology (PC, mobile and tablet), then NVIDIA can tell you the most. The company is very flexible, and shows time after time it really knows in which markets is currently operates and can enter. I sometimes strongly disagree with their marketing, but
NVIDIA: mobile phones, tablets and HPC (cloud) Read More »
The Khronos Group gave some talks on their technologies in Shanghai China on the 17th of March 2012. Neil Trevett did some interesting remarks on the position of NVidia on OpenCL I would like to share with you. Neil Trevett is both an important member of Khronos and employee of NVidia. To be more precise, he
Neil Trevett on OpenCL Read More »
Now that smartphones get more powerful and internet makes it possible to have all functionality and documents with you anywhere, the computer needs to be reinvented. You see all big IT-companies searching for how that can be, from Windows Metro to complete docking stations to replace the desktop by your phone. A turbulent market. One
USB-stick sized ARM-computers Read More »
By exception, another PDF-Monday. OpenCL vs. OpenMP: A Programmability Debate. The one moment OpenCL and the other mom ent OpenMP produces faster code. From the conclusion: “OpenMP is more productive, while OpenCL is portable for a larger class of devices. Performance-wise, we have found a large variety of ratios between the two solutions, depending on the
PDFs of Monday 16 April Read More »
In “Separation of compute, control and transfer” I talked about node-wise programming as a method we should embrace instead of trying to unroll the existing loops. In this article I get into loops and discuss a few types and how they can be run in a parallel form. Dependency is the big variable in each type:
5 types of loops you should avoid Read More »
Say you have a device which is extremely good in numerical trigoniometrics (including integrals, transformations, etc to support mainly Fourier transforms) by using massive parallelism. You also have an optimised library which takes care of the transfer to the device and the handling of trigoniometric math. Then you find out that the strength of your company is
Supporting OpenCL on your own hardware Read More »