Code Project has posted Part 1 on learning the basics of how to install and use OpenCL with Java to unleash the power of your GPU.
Differential equations are crucial to all exact sciences, such as engineering, physics, chemistry and even economics. There packages use GPUs to compute solutions to problems such as solving linear systems and computing FFT. This work covers an easy-to-use ordinary differential equation system solver for scientific applications and games. Examples include calculating trajectories and collision of particles in game engines, electron-proton interactions, gravitational calculations, dynamic modeling of deformable bodies and many more.
The Vienna Computing Library (ViennaCL) is a scientific computing library written in C++ and based on OpenCL. It allows simple, high-level access to the vast computing ressources available on parallel architectures such as GPUs and is primarily focused on common linear algebra operations (BLAS level 1 and 2) and the solution of large systems of equations by means of iterative methods.
CAPS is pleased to announce the availability of an OpenCL code generator within the just released 2.3 version of its HMPP directive-based hybrid compiler. The HMPP compiler integrates powerful data-parallel backends for NVIDIA CUDA and OpenCL that can drastically reduce development time. The OpenCL version of HMPP fully supports AMD and NVIDIA GPU compute processors, bringing to users a wider set of hybrid platforms they can execute their applications on. “The addition of this OpenCL back-end to our existing NVIDIA CUDA back-end is a major milestone in HMPP development that gives users another powerful standard programming option,” comments Stéphane Bihan, Sales manager at CAPS
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.