Department of Computer Science University of Cape Town
Although originally designed to handle computation for computer graphics, fully programmable Graphical Processing Units (GPUs) now offer a powerful alternative to general purpose computational applications traditionally handled by Central Processing Units (CPUs). As GPUs have overtaken CPUs in sheer processing power, GPU solutions have become particularly attractive for computationally intensive problems, such as data processing and physical simulations.
This course covers the practical development of algorithms and associated coding in NVIDIA’s CUDA programming environment for effective general purpose computing with GPUs.
The course is aimed at UCT Computer Science Honours (4th year) students. However, we have space for an additional 20 delegates. Application for attendance should comprise a motivation letter and a CV/resume and be emailed to Christopher Laidler by the 12th April 2013.
Course Registration fee: R150 (light lunches and tea will be provided)
John Stone, Associate Director, CUDA Center of Excellence at University of Illinois at Urbana-Champaign and NVIDIA CUDA Fellow, 2010 to Present
Manuel Ujaldón, Associate Professor, University of Malaga and NVIDIA CUDA Fellow, 2012 to Present