Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...

Dr. Andrés Gómez, Applications & Projects Dept. Manager, lead his team focussed on application support to CESGA’s supercomputing users and the promotion and management of R&D&I projects. This two-week ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...

For NCI’s Prof Horacio González-Vélez, the challenge of computational science is building systems that are not only powerful, but keep up with the changing needs of science, industry and society.

Distributed computing is the process of using multiple processors in parallel to solve a task. This presentation provides information on how to use multiple Raspberry Pis in parallel to accomplish ...