GPU向けC言語開発環境「CUDA 2.0 ベータ」リリース 

  GPU向けC言語開発環境「CUDA 2.0 ベータ」リリース



 AccelerEyes Updates GPU Engine for MATLAB

 AccelerEyes has released Jacket 1.1.1, its GPU engine for MATLAB. This release includes random-number generation with grand(), and double-precision support for FFT functions. All Jacket trials have been reset, so if you've trialed Jacket in the past, you now have another chance to trial again. This version of Jacket includes the following enhancements:

  • fft is now supported for gdouble inputs.
  • grandn - GPU version of randn.
  • grand - GPU version of rand.
  • sort(X) is now supported.
  • cumsum(X) is now supported for vectors.
  • cumprod(X) is now supported for vectors.
  • permute, ipermute is now supported.
  • repmat is now supported for complex inputs.
  • The gcache command now allows users to manipulate the cache by flushing, saving or loading it.
  • The command 'ghelp' displays information about functions supported by Jacket on the MATLAB console.

 Jacket 1.1.1 requires CUDA 2.3. The CUDA drivers and toolkit are available for download.


OpenCL Library for Ruby "Barracuda" 

 Barracuda: An OpenCL Library for Ruby

Barracuda is my latest experiment. I wanted to toy around with the new features of Snow Leopard, and as far as I’ve seen, there are no CUDA or OpenCL wrapper libraries out there for Ruby.
You can install Barracuda if you’re on OSX 10.6 (Snow Leopard) or have a way to get OpenCL on your machine and hack up the Makefiles. I’d like to add support for other environments but I just finished this build.
If you have the right stuff you can grab it right from rubyforge:
sudo gem install barracuda
Or visit the git repo:

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