Michael Sullivan is a senior research scientist in the architecture research group at NVIDIA. His main research interest is the design of efficient, dependable, and secure large-scale computer systems. Specifically, he has studied system-level reliability modeling with cross-layer coordination, strong memory system protection, low-cost pipeline protection, and efficient and reliable application-specific acceleration. He received Ph.D and M.S. degrees in computer architecture from the University of Texas at Austin, and holds previous master's and bachelor's degrees in computer science, computer engineering and mathematics from George Mason University.
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Reliability and Resiliency