Bob Zigon
Ph.D. Student, Computer & Information Science
Research
Faculty Advisor: Fengguang Song, Ph.D.
Software Engineering, Distributed and Parallel Computing (SEDPC) Research Group
Research interests
- High Performance Computing
- GPU computing
- Machine Learning
- Numerical Analysis and Physics Simulation
Education
- B.S. Computer Science, Purdue University, 1983
- B.S. Mathematics, Purdue University, 1983
- M.S. Computer Science, Purdue University, 2015
Publications & Professional Activity
- Accelerating Experience Replay for Deep Q-Networks with Reduced Target Computation, CS & IT Conference Proceedings, Dec 30, 2022.
- Modeling and simulation of interstitial fluid flow around an osteocyte in a lacuno-canalicular network, AIP Physics of Fluids, Mar 21, 2022.
- Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning, ICCS 2020.
- Interactive 3D simulation for fluid-structure interactions using dual coupled GPUs, Journal of Supercomputing, Sep 2017.
- GPU Accelerated Browser for Neuroimaging Genomics, Neuroinformatics, Oct 2018.