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- About
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Courses
- GPU computing and programming
- Building robust scientific codes
- Parallel performance and parallel algorithms
- Python for parallel scientific computing
- GPU programming with PyOpenCL and PyCUDA
- Introduction to numerical linear algebra in parallel
- Quarks, GPUs and Multigrid
- Advanced algorithmic techniques for GPUs
- Iterative methods for sparse linear systems on GPU
- Building & maintaining a cluster of GPUs
- 12 Steps to a Fast Multipole Method on GPUs
- Advanced computing in solid-earth dynamics
- Boundary-Integral methods in molecular science and engineering
- Computational methods for oil recovery
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