$ whoami
I am an Associate Professor in the School of Computational Science and Engineering at Georgia Tech. My research is in an area called high-performance computing (HPC), which also goes by the arguably cooler moniker of supercomputing!
(Spring 2018) This semester, I am on partial leave at the University of Texas at Austin (yee ha!), as a J. Tinsley Oden Faculty Fellow.
Quick links. 1-page CV | Absurdly long GT CV | Canned bio, for talks
Office hours (Spring 2018). By appointment only, in Klaus 1334 at GT or POB 2.525 at UT.
Ph.D. in Computer Science, 2004
University of California, Berkeley
B.S. in Computer Science, 1997
Cornell University
Here are of the courses I have taught or will soon teach. (F=Fall, S=Spring, OMS=Online MS in CS offerings.)
(for talk announcements)
Richard (Rich) Vuduc is an Associate Professor at the Georgia Institute of Technology (“Georgia Tech”), in the School of Computational Science and Engineering, a department devoted to the study of computer-based modeling and simulation of natural and engineered systems. His research lab, The HPC Garage (@hpcgarage), is interested in high-performance computing, with an emphasis on algorithms, performance analysis, and performance engineering. He is a recipient of a DARPA Computer Science Study Group grant; an NSF CAREER award; a collaborative Gordon Bell Prize in 2010; Lockheed-Martin Aeronautics Company Dean’s Award for Teaching Excellence (2013); and Best Paper Awards at the SIAM Conference on Data Mining (SDM, 2012) and the IEEE Parallel and Distributed Processing Symposium (IPDPS, 2015), among others. He has also served as his department’s Associate Chair and Director of its graduate programs. External to Georgia Tech, he currently serves as Chair of the SIAM Activity Group on Supercomputing (2018-2020); co-chaired the Technical Papers Program of the “Supercomputing” (SC) Conference in 2016; and serves as an associate editor of both the International Journal of High-Performance Computing Applications and IEEE Transactions on Parallel and Distributed Systems. He received his Ph.D. in Computer Science from the University of California, Berkeley, and was a postdoctoral scholar in the Center for Advanced Scientific Computing the Lawrence Livermore National Laboratory.