Erik Rainey has released a series of utilities aimed at making OpenCL easier to use under the Apache 2.0 License. The environment includes: clCompiler which generates both binary outputs and precompiled headers which can be used in conjunction with clEnvironment; clQuery allows you to print all known information about a OpenCL data type. clPid, clYUV and clImgFilter are examples of how to use the utilities to create a compile time kernel make it a dependency in you makefiles and then use the clEnvironment to call your kernel. You can download the OpenCL Environment from github.
CMSoft brings a versatile and useful tool, Marching Cubes, adapted to GPU acceleration using OpenCL. Sample source code is available. Marching Cubes is an algorithm used in a very wide range of applications, including Medical visualizations such as CT and MRI scan images; Special 3D effects and 3D modelling of metaballs or metasurfaces: Analysis of oil reservoirs in the oil and gas industry and Reconstitution of surfaces whose data has been acquired through seismic methods.
The Khronos Group will be at SIGGRAPH 2010 this year in Los Angeles with their own booth. Visit Khronos at booth # 1201 and pickup a free laminated reference card for OpenCL and OpenGL as well as see some amazing demonstrations from Imagination Technologies, Rightware, HUONE, Vivante and DMP. As well, there will be a number of BOFs this year including the much anticipated OpenGL BOF, COLLADA, OpenCL, Mobile API and new this year, the WebGL BOF. Be sure not to miss out by registering for your spot today. Space is limited so please don't wait til the last minute. Complete details on all the events at SIGGRAPH that Khronos will be a part of are available online.
The Khronos™ Group today announced the ratification and public release of the OpenCL™ 1.1 specification, the latest version of the open, royalty-free standard for cross-platform, parallel programming of modern processors. OpenCL 1.1 adds significant functionality for enhanced parallel programming flexibility, functionality and performance including:
- New data types including 3-component vectors and additional image formats;
- Handling commands from multiple hosts and processing buffers across multiple devices;
- Operations on regions of a buffer including read, write and copy of 1D, 2D or 3D rectangular regions;
- Enhanced use of events to drive and control command execution;
- Additional OpenCL C built-in functions such as integer clamp, shuffle and asynchronous strided copies;
- Improved OpenGL interoperability through efficient sharing of images and buffers by linking OpenCL and OpenGL events.
ZiiLABS showcased its latest OpenCL technology to partners visiting the Computex show. 'OpenCL enables developers to unlock the full potential of our StemCell Computing array to deliver new levels of performance across a broad range of applications.' said Tim Lewis, director of marketing of ZiiLABS. 'The OpenCL based ray-tracing and video filter demos provide just a glimpse at the floating-point performance and flexibility that developers can exploit on ZMS-based platforms and products.' ZiiLABS is currently inviting developers with innovative ideas to use OpenCL for consumer class handheld and connected platforms to join an OpenCL Early Access Program that will provide selected partners an early release of the OpenCL SDK* for ZMS processors. Developers wishing to apply should visit the ZiiLabs website.
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.