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To view a description of sample codes cuda codes from the command line:
> lynx file:///opt/shared/gpucomputingsdk/4.2.9/C/Samples.html
or
> firefox file:///opt/shared/gpucomputingsdk/4.0.17/C/Samples.html
The name of the cuda compiler is nvcc and other tools can be found in:
/opt/shared/cudatoolkit/4.2.9/cuda/bin
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Stanford Seminars on High Performance Computing with CUDA
Stanford has posted videos from the Spring 2011 seminar series held at the Institute for Computational and Mathematical Engineering (ICME). The ICME is directed by Professor Margot Gerritsen.
- Lecture 1: Intro to HPC with CUDA 1 (Cyril Zeller)
- Lecture 2: Intro to HPC with CUDA 2 (Justin Luitjens)
- Lecture 3: Optimizations 1 - Global Memory (Inderaj Bains)
- Lecture 4: Optimizations 2 - Shared Memory (Steven Rennich)
- Lecture 5: Finite Difference Stencils on Regular Grids (Paulius Micikevicius)
The following Stanford Univ. video lectures are available for viewing.
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