The AMD OpenCL Coding Competition is heating up with the highest number of registrations for a TopCoder Innovation Challenge to date. It’s not too late for you to compete. June 30th is the deadline to submit your abstract in time to get feedback, so if you were considering joining the competition, do it now.
Glare Technologies have announced the release of a new version of their flagship rendering product: Indigo Renderer version 3.0, which now includes support for both OpenCL and CUDA. Indigo is an unbiased, physically based and photo-realistic renderer which simulates the physics of light to achieve near-perfect image realism. With an advanced physical camera model, a super-realistic materials system and the ability to simulate complex lighting situations through Metropolis Light Transport, Indigo is capable of producing the highest levels of realism demanded by architectural and product visualisation.
This June saw an exciting Top 500 Supercomputer Site list. Japan bumped China out of first place with their 8162 TeraFlop 548,352 core machine. Interesting with this machine is that it runs on CPU's only, no GPU's. NVIDIA holds on to 3 of the top 10 spots. For complete stats and more information on the top ten fastest Super Computers, read the latest post from top500.org.
Think you have what it takes to write the best AMD Fusion application using the AMD APP SDK and OpenCL? Prove it with the OpenCL Coding competition! The AMD APP SDK with OpenCL 1.1 support is available online.
AMD announced a new set of software development tools and solutions to enable developers to optimize their applications for OpenCL standards. These advanced tools create a foundation for software companies to realize the full potential of the AMD Fusion Family of Accelerated Processing Units (APUs), harnessing the combined compute power of AMD's high-performance CPUs and GPUs across a wide array of heterogeneous computing platforms. As a result, developers can bring to life innovative experiences like HD video, 3D gaming, video conferencing and intuitive user interfaces, to truly differentiate their applications in the market.
LuxRender is a physically based and unbiased rendering engine using OpenCL. Based on state of the art algorithms, LuxRender simulates the flow of light according to physical equations, producing realistic images of photographic quality. OpenCL allows the Luxrender developer team to support a wide range of platforms and OS.
Aiming at increasing the OpenCL developing, I created some wizards to start up an OpenCL application project using the SDK from NVidia, AMD or Intel. I've used Anjuta DevStudio on Linux. There is a lack of OpenSource IDE and tools to develop GPU applications, these wizards help us to create OpenCL applications based on templates and, thus, to decrease the learning curve.
A new video about SmallLuxGPU 2.0 and Blender Exporter LiveMod. SmallLuxGPU is a LuxRays demo and a LuxRender 'proof of concept'. SmallLuxGPU is released under GPL license. SmallLuxGPU 2.0 renderer is 100% written in OpenCL and includes the support for:
- Multi-OS (i.e. Win, Linux, MacOS, etc.);
- OpenCL multi-platforms (i.e. Intel + NVIDIA, etc.);
- OpenCL multi-devices (i.e. CPUs+GPUs, etc.);
- Metropolis Light Transport;
- Path tracing with next event MiS (i.e. multiple importance sampling);
- Blender integration with LiveMode: interactive materials/lights/objects editing.
AMD announced the opening of a new research and development (R&D) center in Israel, located in the Tel-Aviv area. A world class team of highly talented software engineers is working on the latest heterogeneous computing technologies for the next generation of parallel computing platforms. This announcement follows AMD's recent acquisition of Graphic Remedy, a renowned Israeli startup company specializing in development tools for heterogeneous computing and 3D graphics.
StreamComputing is offering an OpenCL course in Utrecht or Amsterdam depending on demand. We have been working on a book “Accelerated start with OpenCL” which will be handed out and is used as a base for the whole day. You will learn about the basics of OpenCL, recognize which code can best be translated into OpenCL-code, learn how to think in parallel – which is different than thinking in threads, get an overview of different GPGPU programming languages, and see the advantages of all, and learn how to code platform-independent GPU-accelerated code. On request, we’ll practise on NVIDIA, AMD (Fusion&GPU), IBM POWER, Sony PS3 and/or the ARM-platforms.