GPU Education Center

14 Aug 2015

Context of the project:

The project is designed to support and encourage teaching establishments to include GPU Computing using CUDA C/C++ as part of their course offerings, including research and advance education.

Activities:

  • Utilize GPU Computing and CUDA C/C++ as part of curriculum in graduate and undergraduate courses on parallel programming. Also including teaching support materials and courseware to help improve the state of parallel computing education. BINUS University and each course will be identified on NVIDIA’s website to help students find GPU Computing using CUDA C/C++ training.
  • Encourage the active use of the CUDA training lab making it possible for students to have direct access to CUDA enabled systems for hands-on experience of CUDA C/C++ development, debugging and experimentation.
  • Provide CUDA training to other members of BINUS University community.
  • Participate in the GPUComputing.net forum, including the GPU education community and experts of CUDA related programming.
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