Fetching User Details
Loading in progress
Chief Scientist & Senior Vice Presidentat NVIDIA
Bill Dally's profile covers his NVIDIA career, research, GPU systems, and engineering achievements.
Bill Dally is Chief Scientist and Senior Vice President of Research at NVIDIA, where he works on computer architecture, high-performance computing, GPU systems, and advanced interconnect technologies. His research and engineering work spans parallel computer architectures, interconnection networks, microelectronics, and systems for accelerated computing. Dally has also held academic positions at MIT and Stanford University, where he led research in parallel computing and computer systems. He has contributed to technologies including routing networks, stream processors, optical interconnects, and GPU computing systems.
|
Field |
Details |
|
Full Name |
William James Dally |
|
Known As |
Bill Dally |
|
Born |
August 17, 1960 |
|
Current Position |
Chief Scientist and Senior Vice President of Research |
|
Current Company |
|
|
Academic Field |
Computer Science and Electrical Engineering |
|
Previous Academic Institutions |
MIT, Stanford University |
|
Previous Companies / Organizations |
Bell Telephone Laboratories, Cray Research, Avici Systems, Velio Communications, Stream Processors |
|
Education |
Virginia Tech, Stanford University, California Institute of Technology |
|
Degrees |
BS in Electrical Engineering; MS in Electrical Engineering; PhD in Computer Science |
|
Doctoral Advisor |
Charles Seitz |
|
Publications |
More than 200 papers |
|
Professional Fellowships |
ACM Fellow, IEEE Fellow, American Academy of Arts and Sciences Fellow |
|
Public Service |
Member of the President's Council of Advisors on Science and Technology since 2021 |
Dally began his technical career at Bell Telephone Laboratories, contributing to the Bellmac 32 microprocessor, before completing doctoral research at Caltech. He then spent 11 years at MIT, where his research group developed parallel machines including the J-Machine and M-Machine. After joining Stanford in 1997, he became a professor and later chaired its computer science department. His corporate work included roles and collaborations with Cray Research, Avici Systems, Velio Communications, and Stream Processors. He joined NVIDIA as Chief Scientist in 2009 after initially consulting for the company in 2003.
Company Name | Investor Category | Invested Date | Funding Round | Invested Fund |
|---|---|---|---|---|
Result Not FoundNo Records Found | ||||
oops, it's a bit quiet here! no results yet.
The requested search filter did not yield relevant results.
Professional Insights & Profile Overview
Get a complete snapshot of the professional’s background, expertise, experience, achievements, and social presence. These insights help you assess their career journey, skills, and industry footprint. If something needs to be updated,Notify Us