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CUDA Linear Algebra Libraries: cuBLAS and cuSPARSE

Come for Table discussions, Member Self-Intro, What's New, Application Showcase, and Advanced Application Development Techniques! Exchange ideas, meet experts, share code... all HPC & GPU, all practical, all cutting-edge.

Refreshments generously sponsored by Colfax.

Presentation: CUDA Linear Algebra Libraries: cuBLAS and cuSPARSE

Speaker: Philippe Vandermersch

A few words about Philippe:

“I've been software manager of the cuBLAS and cuSPARSE CUDA libraries at NVIDIA since 2009. Previously I was a video architect at NVIDIA for 4 years. Prior to NVIDIA, I worked at Equator Technologies, Siemens ICN and  Sercel Inc.  I am the inventor of two patents in VOIP conference technology and hold an engineering degree from the Institut National Des Telecommunications in France.”

Note:

The cuBLAS (CUDA Basic Linear Algebra Subroutines) library is a GPU-accelerated version of the complete standard BLAS library.  The cuSPARSE  (CUDA Sparse Matrix) library provides a collection of basic linear algebra subroutines used for sparse matrices.

Location:

Open Space; 
Carnegie Mellon Silicon Valley; 
NASA Research Park Bldg 23; 
Mountain View, CA 94043;

Directions to Carnegie Mellon Silicon Valley;

Google Map showing parking, check point, and building entrance;

NOTE: You will need a government issued ID (e.g. Driver's License) to enter NASA Research Park

 

 

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  • Mike D.

    I have a schedule conflict

    February 23, 2013

  • Jaideep

    Interested in GPGPU and CUDA

    February 19, 2013

  • Todd B.

    I want to get this on my calendar early so I don't schedule anything else. These talks are very valuable!

    November 21, 2012

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