Part of the ECE Colloquium Series
William Dally is chief scientist at NVIDIA and the senior vice president of NVIDIA research. He is also Professor (Research) of Electrical and Computer Science at Stanford University. Dally and his Stanford team developed system architecture, network architecture, signaling, routing, and synchronization technology that is found in most large parallel computers today. He is a cofounder of Velio Communications and Stream Processors.
The computing demands of mobile devices, data centers, and HPC are increasing exponentially. At the same time, the end of Dennard scaling has slowed the rate of improvement and made all computing power limited, so that performance is determined by energy efficiency. With improvements in semiconductor process technology offering little increase in efficiency, innovations in architecture and circuits are required to maintain the expected performance scaling.
The large scale parallelism and deep storage hierarchy of future machines poses programming challenges. Professor Dally will discuss these challenges of efficiency and parallelism in more detail and introduce some of the technologies being developed to address them.
The Challenge of Cyberphysical Systems presented by P.R. Kumar as part of the ECE Colloquium Series is also available through our Youtube channel.