All technical blog posts written by people of the Stream HPC team.
I’d like to share two images. The following image is being shared for quite some time, to show the technical capabilities of CUDA. I replaced “CUDA source” by “OpenCL source” and worked from there. Result: I know it is not optimised for a certain architecture, but neither is the CUDA-source for the two extra targets.
CUDA’s multiple targets, the OpenCL version Read More »
Altera has just released their optimisation guide for OpenCL-on-FPGAs. It does not go into the howto’s of OpenCL, but assumes you have knowledge of the technology. Niether does it provide any information on the basics of Altera’s Stratix V or other FPGA. It is the first public optimisation document, so it is appreciated to send
Altera published their OpenCL-on-FPGA optimization guide Read More »
OpenCL on ARM is hot, but it just is getting started. Currently it takes some time to find needed information about the processors concerning For OpenCL-discussions the best place is the Khronos OpenCL board. So where can you go when you want to ask questions specifically on ARM-based GPUS like MALI, PowerVR, Adreno and Vivante?
ARM forums to find useful information for OpenCL development Read More »
Guest-blogger Jaap van de Loosdrecht wants to share his thesis with you. He leads the Centre of Expertise in Computer Vision department at NHL University of applied sciences and is the owner of his own company, and still managed to study and write a MSc-thesis. The thesis is interesting because it extensively compares OpenCL with
Guest-blog: Accelerating sequential machine vision algorithms with OpenMP and OpenCL Read More »
In the below list are the members of the OpenCL workgroup as of November 2013. We can expect small changes each year, but this is close to the actual state. I need the rest of Q4 to finalise all the info – any help is appreciated. This list has also been compiled in 2010, and
All the members of the OpenCL working group 2013 Read More »
Something that creates extra value for Open CL is the flexibility with which it runs on an important variety of hardware. A famous strategy is running the code on CPUs to find data-races and debug the code more easily. Another is to develop on GPUs and port to FPGAs to reduce the development-cycles. But there’s
Reducing downtime with OpenCL… Ever thought of that? Read More »
The past year you might not have heard much from OpenCL-on-ARM, besides the Arndale developer-board. You have heard just a small portion of what has been going on. Yesterday the (Linux) OpenCL-drivers for the Chromebook (which contains an ARM MALI T604) the have been released and several companies will launch products using OpenCL. Below are
Products using OpenCL on ARM MALI are coming Read More »
Support for double precision floating-point type double in OpenCL kernels requires an extension. AMD provides cl_khr_fp64 for newer high-edn hardware, but also a non-fully compliant cl_amd_fp64 extension for other hardware. NVIDIA and Intel support the cl_khr_fp64, so no exceptions need to be made for those drivers. The code you see bellow these lines is based
Basic Concepts: Writing OpenCL code for single and double precision Read More »
In the series “Basic Concepts” various basics of GPGPU and OpenCL are discussed. This time we go into a typical one: when an error does not imply the actual problem. It is therefore good to have an overview of all errors with their descriptions. When you get an out-of-resources error or when you get a
Basic Concepts: out of resources with clEnqueueReadBuffer Read More »
There is an interesting book coming up: “Numerical Computations with GPUs” – a book explaining various numerical algorithms with code in CUDA or OpenCL. edit: At the moment there are 21 articles to be included in the book. edit 2: book should be out in July edit 3: Order via Springer International or Amazon US.
Help write the book “Numerical Computations with GPUs” Read More »