Here are of the courses I have taught or will soon teach. (F=Fall, S=Spring, OMS=Online MS in CS offerings.)

  • CSE 6001: Intro to the CSE Ph.D. [F19, F18, F17, F16, F15, F14]
  • CSE 6040: Intro to Computing for Data Analysis [S20-OMS, F19, F19-OMS, F18, F18-OMS, F17, F17-OMS, F16, F15]
  • CSE 6220: Intro to HPC [S18-OMS, F17-OMS, S17-OMS, F16-OMS, S16-OMS, F15-OMS, S12]
  • CSE 6230: HPC Tools and Applications [F14, F13, …, F08]
  • CSE 6730: Modeling and Simulation [S20, S19, S13]
  • CX 4230: Computer Simulation [S20, S19, S17, S16]

Talk Bio

(for talk announcements)

Richard (Rich) Vuduc is a Professor at the Georgia Institute of Technology (“Georgia Tech”). He works in the School of Computational Science and Engineering, a department devoted to the study of computer-based modeling, simulation, and data-driven analysis 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 or Best Student Paper Awards at the SIAM Conference on Data Mining (SDM, 2012), the IEEE Parallel and Distributed Processing Symposium (IPDPS, 2015), and the ACM/IEEE Conference on Supercomputing (SC, 2018), among others. He has also served as his department’s Associate Chair and Director of its graduate programs. External to Georgia Tech, he recently served as Chair of the SIAM Activity Group on Supercomputing (2018-2019); co-chaired the Technical Papers Program of the “Supercomputing” (SC) Conference in 2016; and serves as an associate editor of the ACM Transactions on Parallel Computing (TOPC) and the International Journal of High-Performance Computing Applications, and previously for the 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.