All technical blog posts written by people of the Stream HPC team.
At the Thalesian talk about OpenCL I gave in London it was quite hard to find a way to talk about OpenCL for a very diverse public (without falling back to listing code-samples for 50 minutes); some knew just everything about HPC and other only heard of CUDA and/or OpenCL. One of the subjects I
Engineering GPGPU into existing software Read More »
There is one big reason StreamHPC chose for OpenCL and that is (future) hardware-support. I talked about NVIDIA versus AMD a lot, but knowing others would join soon. AMD is correct when they say the future is fusion: hybrid computing with a single chip holding both CPU- and GPU-cores, sharing the same memory and interconnected
New grown-ups on the block Read More »
The first two parts described hardware-companies and operating systems, programming languages and software-companies, written about half a year ago. Now we focus on what has driven NVIDIA and ATI/AMD for decades: games. Disclaimer: this is an opinion-piece on the current market. We are strong supporters of OpenCL and all companies which support it too. Since
OpenCL – the battle, part III Read More »
Buzz-words are cool; they are loosely defined and are actually formed by the many implementation that use the label. Like Web 2.0 which is cool javascript for the one and interaction for the other. Now we have cloud-computing, which is cluster-computing with “something extra”. More than a year ago clouds were in the data-centre, but
OpenCL in the Clouds Read More »
Be sure to read Taking on OpenCL where I’ve put my latest insights – also for CUDA. The two¹ “camps” OpenCL and CUDA both claim you should first learn their language first, after which the other would be easy to learn. I’m from the OpenCL-camp, so I say you should learn OpenCL first, but with a strong
Learning both OpenCL and CUDA Read More »
People who follow me, know my interest in ARM Cortex CPU & Mali GPU and Imagination Technology’s PowerVR, regarding OpenCL-potential. Here is an overview of what I found out until now and has more open ends than answers. I was very hopeful about access to mobile OpenCL for developers… But now I think it will
Waiting for Mobile OpenCL Read More »
Here you find the videos uploaded by Khronos of their presentation about OpenCL. I added the time-line, so you can scroll to the more interesting parts easily. The presentation by Ofer Rosenberg of Intel and Cliff Woolly of NVIDIA were not uploaded (yet). Please note that for non-American people the speech of Affi Munchie is
Khronos OpenCL presentation at SIGGRAPH 2010 Read More »
A part of reaction on my earlier post was: “VB Programmers span the whole range from hobbyists to scientists and professions. There is no reason that VB programmers should be left out of the loop in GPU programming. (…) CUDA and OpenCL are fundamentally lower level languages that do not have the same level of
To think about: an OpenCL Wizard Read More »
If you read The Disasters of Visual Designer Tools you’ll find a common thought about easy programming: many programmers don’t learn the hard-to-grasp backgrounds any more, but twiddle around and click a program together. In the early days of BASIC, you could add Assembly-code to speed up calculations; you only needed tot understand registers, cache
The rise of the GPGPU-compilers Read More »
This blog-entry is of interest for you, if you don’t want to read the whole new specifications [PDF] for the OpenCL 1.1 changes, but just want an overview of the most important changes differences with 1.0. The news-release sums up the changes for 1.1 like this: New datatypes including 3-component vectors and additional formats Handling command
OpenCL 1.1 changes compared to 1.0 Read More »