ArrayFire is a fast software library for GPU computing with an easy-to-use API for OpenCL and CUDA. Its array-based function set makes GPU programming simple. ArrayFire is available for C, C++, Fortran, and Python and integrates with AMD, Intel, and NVIDIA hardware. ArrayFire is currently available in beta form for AMD and Intel hardware using OpenCL.
ImageMagick now has certain algorithms which are OpenCL-enabled to take advantage of speed-ups offered by executing in concert across heterogeneous platforms consisting of CPUs, GPUs, and other processors.
The Khronos Group's growth continues to be significant and demonstrates the huge opportunity we share as members of this highly specialized industry. Throughout 2012, Khronos is hosting a series of media events, educational sessions and F2F meetings for consortium members and prospective clients. The Khronos Pan Pacific Road Show 2012 is devoted to our members and colleagues in the Pan Pacific region with a focus on education and training. Complete details on all the upcoming events can be found on the Khronos Group event page. The first events will be held in Taiwan starting February 13 2012.
The first of nine segments which will demonstrate how its hardware can benefit optimized applications using OpenCL.
CLOGS is a library for higher-level operations on top of the OpenCL C++ API. It is designed to integrate with other OpenCL code, including synchronization using OpenCL events.
Currently two operations are supported: radix sorting and exclusive scan. Radix sort supports all the unsigned integral types as keys, and all the built-in scalar and vector types suitable for storage in buffers as values. Scan supports all the integral types. It also supports vector types, which allows for limited multi-scan capabilities.
Rightware announced public availability of Basemark CL. The OpenCL benchmark product provides diverse performance measurement capabilities for device manufacturers, semiconductor companies and their ecosystem to test and optimize OpenCL implementations. The version launched today features tests targeted for desktop computers. An embedded profile version of the benchmark will be published at a later stage.
CMSoft presents a study on how to use OpenCL to accelerate the extraction of color Haar-like wavelet features from color images. This process involves OpenCL acceleration of the computation of the image integral, generation of regions of sliding window in the target picture and preparing data structures to receive all features.
HPC and GPU Computing group is India's first informal special interest group founded to bring together GPU users from different fields and experience levels and all parts of India to learn and share their ideas and creations at friendly meetings.
FinalWire recently announced a new OpenCL-based multi-threaded GPU and APU stressing module for the AIDA64 System Stability Test, using GPGPU computational tasks.
API for data parallel Java (Aparapi) allows Java developers to take advantage of the compute power of GPU and APU devices by executing data parallel code fragments on the GPU rather than being confined to the local CPU. It does this by converting Java bytecode to OpenCL at runtime and executing on the GPU, if for any reason Aparapi can't execute on the GPU it will execute in a Java thread pool.