A short tutorial to help you get started with coding OpenCL in Java. The tutorial is OS X based.
Learn and share ideas at the Brisbane GPU Users group. Founded to bring together GPU users from all fields and experience levels from southeast Queensland. Topics of discussion include general GPU computing, GPGPU, CUDA, OpenCL, OpenGL, DirectCompute, DirectX and related technologies. The next meetup is tentatively scheduled for June 23rd at GP Library (V Block) Room V714 Queensland University of Technology, from 6pm - 9pm.
AMD is offering an introductory tutorial to OpenCL™ that will be held alongside the 2010 Symposium on Application Accelerators in High Performance Computing (SAAHPC’10). This will be a “programmer’s introduction” where we cover the ideas behind OpenCL™ but also show how these ideas are translated into source code. We will do this through a series of progressively more challenging examples--thereby providing examples that experienced programmers will need to become productive OpenCL™ programmers.
JogAmp will be at SIGGRAPH 2010 with their own BOF Session "3D & Multimedia Across Platforms and Devices Using JOGL." This BOF session, on Tuesday, 27 July from 4:00pm to 6:00pm, will discuss the features, contributions, and future of OpenGL, OpenCL, and OpenMax across devices and OS exposed on top of Java using the JogAmp open-source libraries.
Using OpenCL to manipulate OpenGL objects has important advantages: the GPU is usually faster and data transfer from Host memory to Device memory is kept to a minimum. CMSoft OpenCL/GL interop tutorial shows detailed implementation of circular wave interference simulation using CL/GL interop, including commented source code available for download.
Scientific American interviewed several institutes to discover how they plan on using OpenCL. Read how researchers at Virginia Polytechnic Institute and State University (Virginia Tech) and The National Institutes of Health plan on using OpenCL to further their studies within the small budgets at their disposal.
AMD has posted a case study on OpenCL™ Optimization. The article discusses performance optimizations for AMD GPUs and CPUs using as a case study a simple, yet widely used computationally intensive kernel: Diagonal Sparse Matrix Vector Multiplication.
GPU Computing, a term coined by Jon Peddie, like most things, was born out of necessity when it was discovered that a cheap PC with a decent graphics card could perform engineering structural analysis for much less money than a workstation. Jem Davies, the self proclaimed god father of technical talent in ARM, does a great job of outlining what the GPU can do today, and where it's going tomorrow with OpenCL, DirectCompute and Augmented Reality.
KitGuru recently interviewed the well known and highly respected AMD employee Terry Makedon. Covering ATI Stream SDK and OpenCL, among other things, Terry gives a peak into the direct AMD is going with these technologies.
AMD announced the availability of the ATI Stream Software Development Kit (SDK) v2.1. AMD is showing their full support behind OpenCL with this update which includes support for : OpenCL / OpenGL® interoperability, OpenCL byte addressable stores, OpenCL images, OpenCL extension which support AMD media operations in OpenCL and device fission in OpenCL, along with a host of other additions. AMD also announced the launch of its own OpenCL Zone developer support website.