AMD graphics boards are used in 24 of the top 100 supercomputers. The complete list can be found here.
AMD is spearheading an effort to better develop and maintain standards for general processing over GPU (GPGPU) programming. The company is leading the creation of the HSA Foundation, a non-profit industry group aimed at standardising and maintaining platforms for the development of applications which use both CPU and GPU hardware of the Heterogeneous System Architecture (HSA).
At GDC, SemiAccurate sat down with Andrew Richards of Codeplay to talk about OpenCL’s past, present, and future. The results went in directions we had not been anticipating, especially surrounding the future directions of the language. The video of the interview is available on the SemiAccurate website. The Khronos Group YouTube channel also has a good select of video interviews, including one with Andrew Richards.
AMD has announced a new unified profiling and debugging tool for both AMD’s CPUs and GPUs, called CodeXL. CodeXL brings together AMD's GPU compute tools and AMD's CPU compute tools to enable faster and more robust development of OpenCL and GPU accelerated applications.
Tom's Hardware tests OpenCL acceleration in Adobe PhotoShop CS6, Musemage, GIMP and a pre-release version of Corel's AfterShot Pro, across five system configurations and looks for patterns in the results including scaling based on GPU horsepower.
Register today for a webinar series on how to use the Intel SDK for OpenCL Applications to best utilize the CPU and Intel HD Graphics of 3rd Gen Intel Core processors for developing OpenCL applications:
- July 11 - Getting Started with Intel SDK for OpenCL Applications
- July 18 - Writing Efficient Code for OpenCL Applications
- July 25 - Creating and Optimizing OpenCL Applications
The Khronos Group just wrapped up another tour in Asia. Slides from the visit and a few photos are available online.
AMD announced continued leadership in driving OpenCL adoption with availability of the AMD APP SDK 2.7, featuring the first conformant implementation of OpenCL 1.2 and comprehensive support for C++.
VexCL is vector expression template library for OpenCL developed by the Supercomputer Center of Russian academy of sciences. It has been created for ease of C++ based OpenCL development. Multi-device (and multi-platform) computations are supported. The code is publicly available under MIT license.
drawElements Ltd. launches OpenCL test module to broaden the coverage of the drawElements Quality Program a complete solution for measuring and improving GPU quality. The OpenCL module helps driver developers to resolve bugs and analyze performance characteristics of the system. OpenCL users will be able to design algorithms to match the performance profile of the target compute device as well as predict potential pitfalls created by the bugs. A PDF of the press release is available on the drawElements website.