Tor M Aamodt

Tor M. Aamodt is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, where he has been a faculty member since 2006. His current research focuses on the architecture of general-purpose GPUs and energy-efficient computing, most recently including accelerators for machine learning. Along with students in his research group, he developed the widely used GPGPU-Sim simulator. Three of his papers have been selected as Top Picks by IEEE Micro...See more

Tor M. Aamodt is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, where he has been a faculty member since 2006. His current research focuses on the architecture of general-purpose GPUs and energy-efficient computing, most recently including accelerators for machine learning. Along with students in his research group, he developed the widely used GPGPU-Sim simulator. Three of his papers have been selected as Top Picks by IEEE Micro Magazine , a fourth was selected as a Top Picks honorable mention. One of his papers was also selected as a Research Highlight in Communications of the ACM . He is in the MICRO Hall of Fame. He served as an Associate Editor for IEEE Computer Architecture Letters from 2012-2015 and the International Journal of High Performance Computing Applications from 2012-2016, was Program Chair for ISPASS 2013, General Chair for ISPASS 2014, and has served on numerous program committees. He was a Visiting Associate Professor in the Computer Science Department at Stanford University from 2012-2013. He was awarded an NVIDIA Academic Partnership Award in 2010, a NSERC Discovery Accelerator for 2016-2019, and a 2016 Google Faculty Research Award. Tor received his BASc (in Engineering Science), MASc, and Ph.D. at the University of Toronto. Much of his Ph.D. work was done while he was an intern at Intel's Microarchitecture Research Lab. Subsequently, he worked at NVIDIA on the memory system architecture (framebuffer) of GeForce 8 Series GPU--the first NVIDIA GPU to support CUDA. Tor is registered as a Professional Engineer in the province of British Columbia. See less