Rate My Professor Kevin Skadron

Kevin Skadron is the Harry Douglas Forsyth Professor of Computer Science in the Department of Computer Science, School of Engineering and Applied Science, at the University of Virginia. He received a B.S. in Electrical and Computer Engineering and a B.A. in Economics from Rice University in 1994, and a Ph.D. in Computer Science from Princeton University in 1999. Skadron joined the University of Virginia faculty in 1999 and served as Department Chair from 2012 to 2021. He spent the 2007-2008 academic year on sabbatical at NVIDIA Research. He directs the Laboratory for Computer Architecture at Virginia (LAVA lab), the Center for Automata Processing (CAP), and previously directed the SRC/DARPA-funded Center for Research on Intelligent Storage and Processing in Memory (CRISP) under the JUMP 1.0 program, while serving as a member of the Center for Research on Processing in Storage and Memory (PRISM) under JUMP 2.0.

Skadron's research focuses on computer architecture, including novel heterogeneous processor organizations, accelerator architecture, processing in memory (PIM), automata processing and pattern matching, memory architecture, and design verification. His contributions include foundational work in thermal-aware microarchitecture and power delivery modeling. He has received the 2023 SRC/SIA University Research Award for lifetime research contributions to the U.S. semiconductor industry, the 2011 ACM SIGARCH Maurice Wilkes Award, IEEE and ACM Fellowships, election to the Virginia Academy of Science, Engineering, and Medicine (VASEM), and the University of Virginia Teaching Fellow award for 2003-2004. Skadron co-founded IEEE Computer Architecture Letters, serving as Associate Editor-in-Chief (2001-2009), Editor-in-Chief (2010-2012), and Associate Editor (2012-2016); he was on the editorial board of IEEE Micro (2004-2012) and co-founded its "Prolegomena" column. He served as Secretary-Treasurer of ACM SIGARCH (2007-2011), Technical Program Co-Chair for PACT 2006, and General Co-Chair for PACT 2002 and MICRO-37. Key publications include "HotSpot: A Compact Thermal Modeling Methodology for Early-Stage VLSI Design" (IEEE TVLSI, 2006), "Temperature-Aware Microarchitecture: Modeling and Implementation" (ACM TACO, 2004), "Gearbox: A Case for Supporting Accumulation Dispatching and Hybrid Partitioning in PIM-based Accelerators" (ISCA, 2022), "Sieve: Scalable In-situ DRAM-based Accelerator Designs for Massively Parallel k-mer Matching" (ISCA, 2021), and "Fulcrum: A Simplified Control and Access Mechanism toward Flexible and Practical In-Situ Accelerators" (HPCA, 2020). He developed widely used tools such as the Rodinia Benchmark Suite (version 3.1), HotSpot (version 7.0) for thermal modeling, and AutomataZoo for automata processing benchmarks.