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 »
In the beginning of 2012 I spoke with Patrick Viry, former CEO of Ateji – now out-of-business. We shared ideas on GPGPU, OpenCL and programming in general. While talking about the strengths of his product, he came with a remark which I found important and interesting: separation of transfer. This triggered me to think further – those were the times
Separation of Compute and Transfer from the rest of the code. Read More »
There are two overviews I use during my training, and I would like to share with you. Normally I write them on a whiteboard, but it has advantages having it in a digital form. Transfer speeds per bus The below image gives an idea of theoretical transfer speeds, so you know how a fast network
Theoretical transfer speeds visualised Read More »
Does your computer have OpenCL-capable hardware? Read on and find out if your computer is compatible… If you want to know what other non-PC hardware (phones, tablets, FPGAs, DSPs, etc) is running OpenCL, see the OpenCL SDK page. For people who only want to run OpenCL-software and have recent hardware, just read this paragraph. If you have
Do your (X86) CPU and GPU support OpenCL? Read More »
This article will be of interest if you don’t want to read the whole new specifications [PDF] for OpenCL 1.2. As always, feedback will be much appreciated. After many meetings with the many members of the OpenCL task force, a lot of ideas sprouted. And every 17 or 18 months a new version comes out of OpenCL to
Differences from OpenCL 1.1 to 1.2 Read More »
Typos are a programmers worst nightmare, as they are bad for concentration. The code in your head is not the same as the code on the screen and therefore doesn’t have much to do with the actual problem solving. Code highlighting in the IDE helps, but better is to use the actual OpenCL compiler without
Basic Concepts: online kernel compiling Read More »
In the series Basic Concepts I try to give an alternative description to what is said everywhere else. This time my eye fell on alternative convenience methods in two cases which were introduced there to be nice to devs with i.e. C/C++ and/or graphics backgrounds. But I see it explained too often from the convenience functions and
Basic Concepts: OpenCL Convenience Methods for Vector Elements and Type Conversions Read More »
August 2012: article has been completely rewritten and updated. For driver-specific issues, please refer to this article. Want to have both your GTX and Radeon working as OpenCL-devices under Linux? The bad news is that attempts to get Radeon as a compute device and the GTX as primary all failed. The good news is that
Installing both NVidia GTX and AMD Radeon on Linux for OpenCL Read More »
This is the second in the series “OpenCL potentials“. I chose this industry because it is the finest example where you are always late, even if you were first. So it always must be faster if you want to make the better analyses. Before I started StreamHPC I worked for an investment-company, and one of the
OpenCL Potentials: Investment-industry Read More »
The AMD OpenCL coding competition seems to be Windows 7 64bit only. So if you are on another version of Windows, OSX or (like me) on Linux, you are left behind. Of course StreamHPC supports software that just works anywhere (seriously, how hard is that nowadays?), so here are the instructions how to enter the competition
AMD OpenCL coding competition Read More »