The University of Malta has been appointed as a CUDA teaching centre by US global technology company Nvidia Corporation, the world leader in visual computing.

The CUDA parallel programming model is an important element of the Nvidia accelerated computing platform, the leading platform for accelerating data analytics and scientific computing. CUDA enables programmers to increase computing performance by harnessing the power of Nvidia graphics processing unit (GPU) accelerators.

CUDA teaching centres are institutions that have integrated GPU-accelerated computing techniques in their mainstream computer programming curriculum.

The status reflects the University’s commitment to advancing the state of parallel programming education using GPUs for accelerated computing. GPU programming using the CUDA parallel programming model is taught as part of an undergraduate final-year study unit offered in the B.Sc. (Hons) in Computer Engineering and Computing Science.

The course features a hands-on approach, where students implement and analyse parallel solutions, giving practical experience and an understanding of the difficulties involved. It is also available to postgraduate students and staff at the faculty.

As a CUDA teaching centre, the University will have access to Nvidia GPU hardware and Nvidia parallel programming experts and re­sources, including educational webinars, teaching materials, and access to the Nvidia CUDA cloud training programme. This will improve the experience of the students undertaking the study unit, with the ability to run timing tests on the high-end hardware.

For further details, e-mail Johann Briffa at johann.briffa@um.edu.mt.

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