COPPERCUBE 2 arrived on the scene this week boasting 'No programming necessary' to create interactive 3D applications and publish to WebGL on Mac or Windows. Simply import your 3D models or scene, setup the cameras, controllers etc and click Publish. You can try out the free 14 day trial as we did. Within a few seconds we exported a sample scene that worked great in Flash, but unfortunately has a little way to go still in WebGL.
Connect@NMC Online Seminar featuring Henrik Bennetsen of Katalabs, a pioneer in the use of open source software and HTML5 to deliver fast, seamless virtual world experiences inside modern web browsers. HTML5 and WebGL are two emerging standards bringing change to the web. Join Henrik on Tuesday, September 14, 2010 at 12:00 pm Pacific Time to learn more about using emerging standards to create 3D virtual worlds within the browser. Connect@NMC sessions are free and open to the public, and take place in the NMC Adobe Connect Seminar room.
AMD Developer Central has a new section that offers OpenCL Code Samples. Although only one sample right now, this looks like a promising page for those getting started with OpenCL. The Khronos Group also has a section with numerous OpenCL samples and tutorials on their site.
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.
In this episode of Adventures in OpenCL tutorials, we cover OpenCL context sharing with OpenGL. We make a simple particle system to demonstrate this feature. One of the most important aspects of this feature is the time we can save by doing rendering and calculations on the same memory in the GPU, this means we don’t need to copy data back and forth!
AMD Developer central just released an OpenCL optimization case study on SImple Reductions. Strategies examined for efficiently mapping reductions onto the ATI Radeon™ HD 5870 GPU and AMD Phenom™ II X4 965 CPU. Taking advantage of properties of the reduction being performed, as well as matching the style of reduction to the hardware platform, can result in performance improvements of up to 15x, compared to naive code.