MacResearch is an open and independent community for scientists using Mac OS X and related hardware in their research. MacResearch has a good collection of OpenCL tutorials as well as tutorials covering many other topics.

OpenCL framework to accelerate an EMRI modeling application using the hardware accelerators – Cell BE and Tesla CUDA GPU. The main goal of this work is to evaluate an emerging computational platform, OpenCL, for scientific computation. Results show OpenCL binary on a par with CUDA SDK. Baseline is an AMD Phenom 2.5Ghz CPU.

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 Open Toolkit library is an advanced, low-level C# wrapper around OpenGL, OpenCL and OpenAL. It is suitable for games, scientific applications and any other project that requires 3D graphics, audio or compute functionality. Version 1.0 beta-1 introduces type-safe OpenGL ES 2.0 binding and a large number of new OpenGL tutorials on triangle picking, shaders, cubemaps and vertex buffer objects. It also contains a significant number of bug- and stability fixes; improves multi-monitor support; and improves support for multi-threading. Due to the amount and impact of the included bug fixes, users of previous versions are strongly encouraged to upgrade.