The #500 super-computer has only 24 TFlops (2010-06-06) update: scroll down to see the best configuration I have found. In other words: a cluster with at least 30 nodes with 4 high-end GPUs each (costing almost €2000,- per node and giving roughly 5 TFlops single precision, 1 TFLOPS double precision) would enter the Top500. 25
Let’s enter the Top500 HPC list using GPUs Read More »
Update 21-06-2011: Bumped into a project by Nokia: CLEP, “OpenCL Embedded Profile” for the N900. Maemo is the Debian based Linux-distribution of Nokia for embedded devices. It is on the gadget N900, so you can be root on your own phone and compile your own kernel. In other words: a great developer’s phone. Which smartphone
Nokia Maemo and OpenCL Read More »
The earlier blog-post was about how to use Qt Creator with OpenCL. The examples are all around Images, but nowhere a simple Hello World. So here it is: AMD’s infamous OpenCL Hello World in Qt. Thank’s to linuxjunk for gluing the parts together. Have fun!
More and more tools make OpenCL easier to use. However, most convenience libraries are wrappers for other languages, so C and C++ programmers seem to have the hardest time. For a while now, my favourite option has been Qt Creator with OpenCL. Qt is multi-platform, has a good IDE, is very extensive, has good multi-core
Using Qt Creator for OpenCL Read More »
It’s almost time for more nerdy stuff we have in the pipe-line, but we’ll keep for some superficial blah for a moment. We concentrate on training (and consultancy). There is a lot of discussion here about “how to design training-programs about difficult concepts for technical people”, or better: “how to learn yourself something difficult”. At
Our training concepts for GPGPU Read More »
The System-on-a-chip (SoC) for X86 will be a revolution for GPGPU. Why? Because currently a big problem is transferring data from CPU-memory to GPU-memory and back, which will be solved with SoCs. Below you can read this architecture-target is very possible. With AMD+ATI, Intel and its future high-end GPUs, and NVidia with the rumours around
X86 Systems-on-a-Chip and GPGPU Read More »
THIS ARTICLE IS VERY OUTDATED AND NOW SIMPLY UNTRUE FOR CERTAIN PARTS! NEW ARTICLE COMING UP. Most GPGPU-enthusiasts have heard of both OpenCL and CUDA. While there are more solutions, these have the most potential. Both techniques are very comparable like a BMW and a Mercedes, but there are some differences. Since the technologies will
Difference between CUDA and OpenCL 2010 Read More »
This post has a focus towards programmers. The main question “should I invest in learning CUDA/OpenCL?” Using the video-processor for parallel processing is actually possible since beginning 2006; you just had to know how to use the OpenGL Shader Language. Not long after that (end 2006) CUDA was introduced. A lot has happened after that,
Does GPGPU have a bright future? Read More »
(If you’re searching for companies who offer OpenCL-products and services, please visit OpenCL:Pro) You probably have heard AMD is on the OpenCL working group of Khronos; but there are many more and they possibly all have plans to use it. Here is an overview, so you can make your own conclusions about the future that
All the members of the OpenCL working group 2010 Read More »
Please read this article about Microsoft and OpenCL, before reading on. The people of Unigine did the requested benchmarking, and have some results on differences between the three big GPGPU-APIs. See their part I, part II and part III with some typical results. The following read is not about the technical differences of the 3
nVidia’s CUDA vs OpenCL Marketing Read More »