The University of Malta recently announced that it has been named a Cuda Teaching Centre by NVIDIA, 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 achieve dramatic increases in computing performance by harnessing the power of NVIDIA GPU accelerators.

Cuda Teaching Centres are recognised institutions that have integrated GPU-accelerated computing techniques into 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 CCE3013, an undergraduate final-year study unit offered in the University’s B.Sc. (Hons) in Computer Engineering and Computing Science programmes covering concepts of parallel computing on different architectures that support this. The course features a hands-on approach, where students implement and analyse parallel solutions, giving practical experience and an understanding of the difficulties involved. The course is also made available to postgraduate students and staff within the Faculty.

 

As a Cuda Teaching Centre, the University of Malta will have access to NVIDIA GPU hardware and NVIDIA parallel programming experts and resources, including educational webinars, an array of teaching materials, and access to the NVIDIA Cuda Cloud Training Programme. This will significantly improve the experience of the students in CCE3013, with the ability to run timing tests on the high-end hardware.