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.
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.
The AMD OpenCL APP SDK v2.7 now supports OpenCL 1.2 and improved C++ support for both host side and kernel side coding.
Vivante Corporation today announced Vivante GC Cores passed the Khronos Group OpenCL 1.1 Embedded Profile (EP) conformance test suite on Freescale's i.MX 6 platform. The GC Cores use the latest programmable ScalarMorphic architecture to accelerate parallel data workloads on thousands of concurrent threads to achieve Gigaflops (GFLOPS) of computational performance. Applications taking advantage of Vivante cores to significantly speed-up processing includes image processing, computer vision, analytics, augmented reality and gesture-motion tracking.
Imagination was showing off GPU compute on a cell phone chip at GDC, physics in your pocket. That demo was pretty simple, take a Pandaboard with a TI OMAP 4430, a dual-core ARM A9 CPU and an Imagination SGX540 GPU, and run a cloth simulation on it. Not only could the OpenCL version exploit the GPU to do more balls and sheets than the CPU version, but it saved power while doing so. How much? On one CPU, the simulation took about .68A@5V to run at 14FPS with 100% CPU load. With two A9 cores loaded, the Pandaboard pulled .84A and ran at 24FPS. In OpenCL, CPU load dropped to less than 30%, FPS jumped to 42, and power draw went down to .60A. More than 10% less energy used, 3x the frame rate, and you could run more simulations on the same box if you wanted. Not bad at all.
Marketing Manager for Intel HD Graphics demos several examples of how the Intel SDK for OpenCL Applications 2012 supports 3rd generation Intel Core processors on both Intel Processors and HD graphics 4000/2500 for accelerated video processing.
This book contains the most important and essential information required for designing correct and efficient OpenCL programs. Some details have been omitted but can be found in the provided references. The authors assume that readers are familiar with basic concepts of parallel computation, have some programming experience with C or C++ and have a fundamental understanding of computer architecture. In the book, all terms, definitions and function signatures have been copied from official API documents available on the page of the OpenCL standards creators.