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:
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.
Following the meetings in Taipei and Hsinchu in February2012, the Khronos Group will once again return to Taiwan in early June. Visiting the National Taiwan University and National Tsing Hua University, Khronos will hold a series of public educational activities and business meetings. In order to further communication and interaction with local Taiwanese businesses, the meetings will be open to the public. The Khronos Group will have a lot of exciting information to discuss and is looking forward to the enthusiastic participation of the Pan-Pacific region.
MulticoreWare has a major presence at AMD Fusion Developer Summit 2012 (AFDS) being held June 11-14 in Bellevue Washington. With twelve presentations and numberous demos at the Experience Zone MulticoreWare is also an AFDS sponsor and Khronos Group member.
December 2011 saw the kick-off of an ambitious research project called “CARP: Correct and Efficient Accelerator Programming”, which aims to boost the programmability of accelerator hardware, such as graphics processing units (GPUs), by innovating in programming language design and implementation, as well as formal verification techniques. Funded by the European Commission’s Seventh Framework Programme (FP7), the consortium, which consists of eight partners--including Khronos members ARM, Imperial College London and Rightware--seeks to provide a unified flow for developing correct and efficient accelerator software, thus increasing reliability and energy efficiency of computing systems.