Past Event

Enduring Differentiation

Abstract

All semiconductor manufacturers must deal with the same set of physical laws and constraints when designing their products. Yet the performance of GPUs is rising noticeably faster than that of traditional processors. Indeed, one leading professor of computer architecture has predicted the end of general purpose processors. Why should this be? In this lecture, we will examine the trends in computer architecture and manufacturing technology that GPUs are able to exploit, which point to a healthy future for this type of processor for high throughput computing. The single architecture developed by NVIDIA is proving itself to be valuable across a wide range of applications, including artificial intelligence, high performance computing, image and video processing.

About the Speaker

Timothy Lanfear manages the European solution architecture and engineering team in NVIDIA’s Enterprise Solutions Group. He has twenty-five years’ experience in HPC, starting as a computational scientist in British Aerospace’s corporate research centre, and then moving to technical pre-sales roles with Hitachi, ClearSpeed, and most recently NVIDIA. He has a degree in Electrical Engineering and a PhD for research in the field of graph theory, both from Imperial College London. He is a Chartered Engineer and Member of the Institution of Engineering and Technology.