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Evan Speight
512-636-1874
Office: EER 4.816

Evan Speight

Professor of Practice

Evan Speight is a Professor of Practice in the Chandra Family Department of Electrical and Computer Engineering at the University of Texas at Austin.  Evan focuses on bringing real-world experiences, innovative pedagogical techniques, and a passion for teaching to the ECE curriculum.  He is also the co-founder and CTO of Radyalis, a medical software company that provides QA validation of radiation treatment plans for cancer patients.  He holds 46 patents and has authored more than 30 papers in the areas of computer architecture, interconnection networks, cache hierarchy design, and fast Monte Carlo simulation.

Evan graduated from Stanford University in 1990, after which he completed his MS and Ph.D. at Rice University in 1997 in the area of software distributed shared memory.   After graduation, he was a member of the faculty at Cornell University from 1999 to 2003 where he taught advanced computer architecture, digital logic design, and programming, winning an outstanding undergraduate teaching award in 2002.  In 2003 he moved to IBM Austin Research Lab to join the PERCS project, first as an RSM and later a manager.  As a DARPA-funded initiative, the PERCS project produced the world’s fastest supercomputer, at least for a short while.  While at IBM, Evan worked on detailed architectural simulation models, helped design the cache hierarchy for the POWER7 chip, and developed patents and papers for the unique fully-connected PERCS interconnection network.  At the end of the project, Evan left IBM to co-found Radyalis with coworkers Sani Nassif and David LaPotin, bringing their combined 50+ years of experience with simulation and high performance computing to the medical space.  Radyalis’ current offering is a fast, accurate Monte Carlo engine used to provide quality assurance for radiation treatment plans for cancer patients.  Their software has been adopted by ScandiDos, Inc. and appears in their current Delta4 offering. 
 

Research Interests
High Performance Computer Architecture
Multithreaded Programming
Intersection of HPC and Medical Applications
Application of Generative AI to the Medical Space