Dr Bill Dally

QEP 040225 7

Bill Dally joined NVIDIA in January 2009 as Chief Scientist, after spending 12 years at Stanford University, where he was chairman of the computer science department. Together with his Stanford team he developed the system architecture, network architecture, signalling, routing and synchronization technology that is found in most large parallel computers today.

Bill was previously at the Massachusetts Institute of Technology from 1986 to 1997, where he and his team built the J-Machine and the M-Machine, experimental parallel computer systems that pioneered the separation of mechanism from programming models and demonstrated very low overhead synchronization and communication mechanisms. From 1983 to 1986, he was at California Institute of Technology (CalTech), where he designed the MOSSIM Simulation Engine and the Torus Routing chip, which pioneered “wormhole” routing and virtual-channel flow control.

He is a member of the National Academy of Engineering, a Fellow of the American Academy of Arts & Sciences, a Fellow of the IEEE and the ACM, and has received the ACM Eckert-Mauchly Award, the IEEE Seymour Cray Award, and the ACM Maurice Wilkes award. He has published over 250 papers, holds over 120 issued patents, and is an author of four textbooks.

2025 Modern Machine Learning 2

The 2025 QEPrize is awarded to Yoshua Bengio, Bill Dally, Geoffrey Hinton, John Hopfield, Jensen Huang, Yann LeCun, and Fei-Fei Li.

The Queen Elizabeth Prize for Engineering has been awarded for contributions to the development of Modern Machine Learning, a core component of artificial intelligence (AI) advancements..