Research/Areas of Interest:
computer architecture, computer systems, power-aware computing, embedded systems, mobile computing, computer systems for machine learning, workload characterization, quantum computing, learning sciences and computer systems for human subjects research
Ph.D., Harvard University, Cambridge, United States
S.M., Harvard University, Cambridge, United States
B.S. Summa Cum Laude, Tufts University, Medford, United States
Mark Hempstead's research group investigates methods to increase energy efficiency across the boundaries of circuits, architecture, and systems. Recent Investigations: Engineering Tools for Education Research, On-Chip Hotspots, Systems for Recommendation Models, Near-Memory Computing, Security and Thermal Side-Channel, Many-Accelerator Architectures, Cache Eviction Policies, SnackNoC, Power-agile Computing for Mobile Devices
Dr. Hempstead received a BS in Computer Engineering from Tufts University and his MS and Ph.D. in Engineering from Harvard University, working with Professors David Brooks and Gu-Yeon Wei. Prior to joining Tufts University in 2015, he was an Assistant Professor at Drexel University. He received the NSF CAREER award in 2014. He was honored for his achievements in teaching with the 2014 Drexel University Allen Rothwarf Award for Teaching Excellence given to one junior faculty member a year. He was the winner of the industry-sponsored SRC student design contest in 2006 and Best Paper Nominee in HPCA 2012. He has spent time in the research divisions of Intel, ARM, and, more recently, at Facebook FAIR SysML as a visiting research scientist.