Kevin Skadron
Harry Douglas Forsyth Professor of Computer Science
Director of Graduate Studies, Computer Engineering
About
Kevin Skadron has been on the faculty at UNIVERSITY OF VIRGINIA since 1999. He received his B.S. in Electrical and Computer Engineering and B.A. in Economics from RICE UNIVERSITY in 1994, and his Ph.D. in Computer Science from PRINCETON UNIVERSITY in 1999. He spent the 2007-08 academic year on sabbatical at NVIDIA Research. He served as department chair from 2012-2021. He also helped found and served as director for the SRC JUMP 1.0 CENTER FOR RESEARCH ON INTELLIGENT STORAGE AND PROCESSING IN MEMORY (CRISP) and the CENTER FOR AUTOMATA PROCESSING (CAP). He is now a member of the SRC JUMP 2.0 CENTER FOR RESEARCH ON PROCESSING IN STORAGE AND MEMORY (PRISM). Skadron is the recipient of the 2023 SRC/SIA UNIVERSITY RESEARCH AWARD, 2011 ACM SIGARCH MAURICE WILKES AWARD, a Fellow of the IEEE and ACM, and a member of the VIRGINIA ACADEMY OF SCIENCE, ENGINEERING, AND MEDICINE. For the year 2003-04, he was named a UNIVERSITY OF VIRGINIA TEACHING FELLOW. Among other professional activities, he co-founded IEEE COMPUTER ARCHITECTURE LETTERS, for which he served as associate editor-in-chief from 2001-2009 and editor-in chief from 2010-2012. He has served on the editorial board of IEEE Micro from 2004-2012 and as co-founder/co-editor (with Kevin Rudd) of its "Prolegomena" column, as secretary-treasurer of ACM's SIGARCH from 2007-2011, as technical program co-chair of PACT 2006, general co-chair for PACT 2002 and MICRO-37, and on numerous technical program committees. He has also given several conference keynotes.
Research Interests
Computer architecture
Memory architecture and processing in and near memory (PIM/PNM)
Automata processing and pattern matching
Design verification
Selected Publications
FOR A MORE COMPLETE LIST, PLEASE SEE PROF. SKADRON'S INDIVIDUAL HOME PAGE.
Individual home page
"Regular-Hardware Characterization of Diffusion vs. Autoregressive Language Model Inference: Compute vs. Memory Bottlenecks." Sep. 2026, to appear.
Z.FAN AND K. SKADRON
"Periscope: Extending the Scope of Pre-Silicon Assertion-Based Verification with Runtime Monitor Feedback." In Proceedings of the International Conference on Runtime Verification (RV), Springer, Oct. 2026, to appear.
Y. SENEVIRATNE, T. TRACY II, K. NANDAGOPAL, D. CHINNASAME RANI, M. B. DWYER B. BINGHAM, AND K. SKADRON
"Reimagining LLM Inference Infrastructure with Memory-Centric KV Cache Servers." In the 3rd Workshop on Hot Topics in System Infrastructure (HotInfra), in conjunction with ISCA'26, June 2026.
K. KIYAWAT AND K. SKADRON
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"HARMONI: Hierarchical Evaluation of Memory-centric Systems for LLM Execution." In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Apr. 2026. DOI 10.1109/ISPASS69572.2026.00016
K. KIYAWAT, Y. SENEVIRATNE, Z. FAN, M. BARADARAN, AND K. SKADRON
ABS
"Membrane: Accelerating Database Analytics with DRAM-Based PIM Filtering and Schema Denormalization." ACM Transactions on Architecture and Code Optimization (TACO). 23(1), 24 pp., Mar. 2026, DOI 10.1145/3786775.
A. SHEKAR, K. GAFFNEY, M. PRAMMER, K. KIYAWAT, L. WU, H. CAMINAL, Z. FAN, Y. GAO, A. VENKAT, J. F. MARTÍNEZ, J. M. PATEL, AND K. SKADRON
ABS
"DReX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign." In Proceedings of the ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2025.
D. QUINN, E. YUCEL, M. PRAMMER, Z. FAN, K. SKADRON, J. PATEL, M. ALIAN, J. MARTÍNEZ
ABS
"Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics." In Proceedings of the IEEE International Conference on Field Programmable Technology (FPT), Dec. 2024.
O. JAIYEOBA, A. MUGHRABI, M. BARADARAN, B. GUL, AND K. SKADRON
ABS
"Architectural Modeling and Benchmarking for Digital DRAM PIM." IEEE International Symposium on Workload Characterization (IISWC), Sept. 2024.
F. A. SIDDIQUE, D. GUO, Z. FAN, M. GHOLAMREZAEI, M. BARADARAN, A. AHMED, H. ABBOT, K. DURRER, E. ERMOVICK, K. NADAGOPAL, K. KIYAWAT, B. GUL, A. MUGHRABI, A. VENKAT, and K. SKADRON..
ABS
“ACTS: A Near-Memory FPGA Graph Processing Framework.” Proceedings of the IEEE International Symposium on Field-Programmable Gate Arrays (FPGA), Feb. 2023.
O. JAIYEOBA and K. SKADRON.
ABS
“Pulley: An Algorithm/Hardware Co-optimization for In-memory Sorting.” IEEE Computer Architecture Letters, 21(2):109-112, July-Dec. 2022.
M. LENJANI, A. AHMED, and K. SKADRON.
ABS
“Gearbox: A Case for Supporting Accumulation Dispatching and Hybrid Partitioning in PIM-based Accelerators.” In Proceedings of the ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2022.
M. LENJANI, A. AHMED, M. R. STAN, AND K. SKADRON.
ABS
“From 2.5D to 3D Chiplet Systems: Investigation of Thermal Implications with HotSpot 7.0.” In Proceedings of the IEEE/ASME Tenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM), May 2022.
J.-H. HAN, X. GUO, K. SKADRON, AND M. R. STAN.
ABS
“Supporting Moderate Data Dependency, Position Dependency, and Divergence in PIM-based Accelerators.” IEEE Micro special issue on Processing in Memory, Jan/Feb. 2022, 42(1):108-115. DOI 10.11
M. LENJANI AND K. SKADRON.
ABS
“Sunder: Enabling Low-Overhead and Scalable Near Data Pattern Matching Acceleration.” In Proceedings of the IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2021.
E. SADREDINI, R. RAHIMI, M. IMANI, AND K. SKADRON.
ABS
“Sieve: Scalable In-situ DRAM-based Accelerator Designs for Massively Parallel k-mer Matching.” In Proceedings of the ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2021.
L. WU, R. SHARIFI, M. LENJANI, K. SKADRON, AND A. VENKAT.
ABS
“Runtime Verification on FPGAs with LTLf Specifications.” In Proceedings of the Formal Methods in Computer-Aided Design (FMCAD), Sept. 2020
T. TRACY II, L. TABAJARA, M. VARDI, AND K. SKADRON.
ABS
“Grapefruit: An Open-Source, Full-Stack, and Customizable Automata Processing on FPGAs.” In Proceedings of the IEEE International Symposium on Field Customizable Computing Machines (FCCM), May 2020.
R. RAHIMI, E. SADREDINI, M. STAN, AND K. SKADRON.
ABS
“FlexAmata: A Universal and Efficient Adaption of Applications to Spatial Automata Processing Accelerators.” In Proceedings of the ACM International Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar. 2020.
E. SADREDINI, R. RAHIMI, M. LENJANI, M. STAN, AND K. SKADRON.
ABS
“Fulcrum: a Simplified Control and Access Mechanism toward Flexible and Practical In-Situ Accelerators.” In Proceedings of the IEEE International Symposium on High Performance Computer Architecture (HPCA), Feb. 2020.
M. LENJANI, P. GONZALEZ, E. SADREDINI, S. LI, Y. XIE, A. AKEL, S. EILERT, M. R. STAN, AND K. SKADRON.
ABS
“Hopscotch: A Micro-benchmark Suite for Memory Performance Evaluation.” In Proceedings of the International Symposium on Memory Systems (MEMSYS), Sep.-Oct. 2019.
A. AHMED, K. SKADRON
ABS
“Debugging Support for Pattern-Matching Languages and Accelerators.” In Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr. 2019.
M. CASIAS, K. ANGSTADT, T. TRACY II, K. SKADRON, AND W. WEIMER.
ABS
“AutomataZoo: A Modern Automata Processing Benchmark Suite.” In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), Oct. 2018.
J. WADDEN, T. TRACY II, E. SADREDINI, L. WU, C. BO, J. DU, Y. ZHOU, M. WALLACE, J. UDALL, M. STAN, AND K. SKADRON.
ABS
“Characterizing and Mitigating Output Reporting Bottlenecks in Spatial-Reconfigurable Automata Processing Architectures.” In Proceedings of the IEEE International Symposium on High Performance Computer Architecture (HPCA), Feb. 2018.
J. WADDEN, K. ANGSTADT, AND K. SKADRON.
ABS
“MNCaRT: An Open-Source, Multi-Architecture Automata-Processing Research and Execution Ecosystem.” IEEE Computer Architecture Letters, Dec. 2017.
K. ANGSTADT, J. WADDEN, V. DANG, T. XIE, D. KRAMP, W. WEIMER, M. STAN, AND K. SKADRON.
ABS
"RAPID Programming of Pattern-Recognition Processors." In Proceedings of the ACM International Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr. 2016.
K. ANGSTADT, W. WEIMER, AND K. SKADRON.
ABS
"Transient Voltage Noise in Charge-Recycled Power Delivery Networks for Many-Layer 3D-IC." In Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2015.
R. ZHANG, K. MAZUMDER, B. H. MEYER, K. WANG, K. SKADRON, AND M. R. STAN.
ABS
"Architecture Implications of Pads as a Scarce Resource." In Proceedings of the ACM/IEEE International Symposium on Computer Architecture, June 2014.
R. ZHANG, K. WANG, B. H. MEYER, M. R. STAN, AND K. SKADRON.
ABS
"Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems." In Proceedings of the Fourth International Workshop on Accelerators and Hybrid Exascale Systems, in conjunction with IPDPS, May 2014.
S. CHE, J. MENG, AND K. SKADRON.
ABS
"Implications of the Power Wall: Dim Cores and Reconfigurable Logic." IEEE Micro special issue on Dark Silicon, 33(5): 40-49, Sept.-Oct. 2013.DOI 10.1109/MM.2013.74
L. WANG AND K. SKADRON.
ABS
"Robust SIMD: Dynamically Adapted SIMD Width and Multi-Threading Depth." In Proceedings of the IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2012.
J. MENG, J. W. SHEAFFER, AND K. SKADRON.
ABS
"Federation: Boosting Per-Thread Performance of Throughput-Oriented Manycore Architectures." ACM Transactions on Architecture and Code Optimization (TACO), 7(4):1-38, Dec. 2010, DOI 10.1145/1880043.1880046.
M. BOYER, D. TARJAN, K. SKADRON.
ABS
"Accurate, Pre-RTL Temperature-Aware Processor Design Using a Parameterized, Geometric Thermal Model." IEEE Transactions on Computers, 57(9):1277-88, Sept. 2008, DOI 10.1109/TC.2008.64
W. HUANG, K. SANKARANARAYANAN, K. SKADRON, R. J. RIBANDO, AND M. R. STAN.
ABS
"Scalable Parallel Programming with CUDA." ACM Queue, 6(2):40-53, Mar.-Apr. 2008. DOI 10.1145/1365490.1365500
J. NICKOLLS, I. BUCK, M. GARLAND, K. SKADRON.
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Courses Taught
CS 6501: Special Topics: CPU/GPU Memory Systems and Near-Data Processing
Spring 2025, Spring 2026
CS 3130: Computer Systems and Organization 2 (CSO2)
Fall 2024, Fall 2025
CS 414/4414: Operating Systems
SPRING 2002, 2004, 2005, 2006, FALL 2008, FALL 2010, SPRING 2012, FALL 2022, FALL 2023
CS 6501: Special Topics: Hardware Accelerators
Spring 2023, 2024
CS 6354 (formerly 654): Graduate Computer Architecture
FALL 2000, 2001, 2002, 2003, 2004, 2009, AND SPRING 2013, 2014, 2026
CS 6501: Special Topics in Computer Architecture
Heterogeneous and Scalable Computing FALL 2011
CS 754: Advanced Computer Architecture (Multicore Architectures and Programming Models)
FALL 2006
CS 851/8501: Special Topics in Computer Architecture
FALL 1999, SPRING 2000, SPRING 2001, SPRING 2002, FALL 2004, MOST RECENTLY SPRING 2010
CS 8535: Advanced Computer Architecture Dark Silicon
SPRING 2011
CS 433: Advanced Computer Architecture
FALL 2005; SPRING 2007; SPRING 2009
Awards
SRC/SIA University Research Award
2023
ACM SIGARCH Maurice Wilkes Award
2011
Fellow of the IEEE
Fellow of the ACM
Member, Virginia Academy of Science, Engineering, and Medicine
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Kevin Skadron Receives 2023 SIA University Research Award
Read NowThe Semiconductor Industry Association and Semiconductor Research Corporation announced two recipients of their prestigious 2023 University Research Awards, including UVA Engineering's Kevin Skadron.
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UVA Computer Science Not Letting Up on Accelerating Processing Speeds Through Collaborations
Read NowKevin Skadron is a member of a new multi-institution research consortium, the Center for Processing with Intelligent Storage and Memory.
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Five Years that Changed Computing
Read NowCRISP looks back on half a decade’s work to speed computing into the future.
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Say Goodbye to the Memory Wall
Read NowResearchers in the University of Virginia’s Department of Computer Science and Charles L. Brown Department of Electrical and Computer Engineering are leading a $29.7 million research effort to remove.