GLC_lib is a C++ library for high performance 3D application based on OpenGL. GLC_lib 2.0 can handle very large DMUs (Digital MockUps) to create fast free multi platform OpenGL 3D viewers. Some of the new features include: Frustum Culling with OpenGL frustum Plane extraction; space partitioning using Octree; ability to save all supported 3D Formats in a 3DXML ASCII V4; built in 3DWidget; built in Plane sectioning with easy and powerfull manipulation tools. Supported file formats include COLLADA, 3DXML ASCII V3 and V4, OBJ, 3DS, STL (ASCII and binary), and OFF and COFF.
Introducing the QtOpenCL library, which wraps the OpenCL 1.0 API in a Qt-style API. It takes the pain out of OpenCL initialization, program compilation, and kernel execution. It also provides convenience functions for interfacing to existing Qt facilities such as QImage and QtOpenGL. QtOpenCL is still a work in progress, distributed as a standalone module outside of the normal Qt source repositories.
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.
A new project on Google code offers up Java/Scala bindings for OpenCL. OpenCL4Java is a library that provides three levels of Java bindings for OpenCL: C-style wrappings auto-JNAerated by JNAerator; Thin Object-Oriented wrappings that hide away the complexity of the C-style wrappings; ScalaCL, which is a kind of "parallel expressions for dummies" in Scala. A thread on the OpenCL message boards is available for feedback.
PyOpenCL has been released. This OpenCL wrapper for Python has complete documentation and a wiki setup. Key features of PyOpenCL are: object cleanup tied to lifetime of objects; the full power of OpenCL’s API at your disposal with every obscure get_info() query and all CL calls are accessible; automatic error checking; base layer is written in C++; complete documentation; a liberal open-source and free for commercial, academic, and private use under the MIT/X11 license. If you have feedback on this wrapper, you can contribute to a live discussion in the Khronos Message Boards.