Adobe turns to OpenCL rather than NVIDIA CUDA for Mercury Graphics Engine in Creative Suite 6

Adobe has just announced Creative Suite 6. CS 5.5 used the Mercury Playback Engine in Premiere Pro, which takes advantage of NVIDIA’s CUDA library in order to accelerate processing when an NVIDIA GPU is present. Just to be clear, this is not just graphics acceleration, but programming the GPU to take advantage of its many

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NVIDIA releases CUDA Toolkit 4.1 with LLVM compiler

NVIDIA has released version 4.1 of its CUDA Toolkit for general purpose GPU computing.

There is a lot in this release, including a compiler based on LLVM, which will make it easier to support other programming languages; 1000 new imaging functions; and a re-designed visual profiler.

There is also an update to Parallel

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NVIDIA plans to merge CPU and GPU – eventually

I spoke to Dr Steve Scott, NVIDIA’s CTO for Tesla, at the end of the GPU Technology Conference which has just finished here in Beijing. In the closing session, Scott talked about the future of NVIDIA’s GPU computing chips. NVIDIA releases a new generation of graphics chips every two years:

2008 Tesla 2010 Fermi 2012

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When will Intel’s Many Integrated Core processors be mainstream?

I’m at Intel’s software tools conference in Dubrovnik, which I have attended for the last three years, and as usual the big topic is concurrent programming and how to write code that takes advantage of the multiple cores in today’s computers.

Clearly this remains a critical subject, but in some ways the progress over these

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Is the triumph of the GPU the failure of the CPU?

I’m at NVIDIA’s GPU tech conference in San Jose. The central theme of the conference is that the capabilities of modern GPUs enable substantial performance gains for general computing, not just for graphics, though most of the examples we have seen involve some element of graphical processing. The reason you should care about this is

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NVIDIA talks up GPU computing, presents roadmap

At the NVIDIA GPU Technology Conference in San Jose CEO Jen-Hsun Huang talked up the company’s progress in GPU computing, showed some example applications, and announced a high-level roadmap for future graphics chip architectures. NVIDIA has three areas of focus, he said: the Quadro line for visualisation, Tesla for parallel computing, and GeForce/Tegra for personal

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