2025
Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, and Lisa Wu Wills, “LLM.265: Video Codecs are Secretly Tensor Codecs.” To appear in the Proceedings of the International Symposium on Microarchitecture (MICRO), October 2025.
Ning Liang, Fabian Wenz, Jana Giceva, and Lisa Wu Wills, “Athena: A Plug-and-Play Advisor for Retrieval-Augmented Generation using VectorDB.” To appear in the Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), October 2025.
Jian Weng, Boyang Han, Derui Gao, Wanning Zhang, An Zhong, Ceyu Xu, Jihao Xin, Yangzhixin Luo, Lisa Wu Wills, and Marco Canini, “Assassyn: A Unified Abstraction for Architectural Simulation and Implementation.” In the Proceedings of the International Symposium on Computer Architecture (ISCA), June 2025.
Christopher Kjellqvist, Brendan Peercy, Alvin R. Lebeck, and Lisa Wu Wills, “Beethoven : A Heterogeneous Multi-Core Accelerator System Composer.” In the Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), May 2025.
Mansi Choudhary, Jiaao Ma, Christ Kjellqvist, and Lisa Wu Wills, “COCOSSim : A Cycle-Accurate Simulator for Heterogeneous Systolic Array Architectures.” In the Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), May 2025.
Christopher Kjellqvist, Lisa Wu Wills, and Alvin R. Lebeck, “BigLittleMCA : A Spatially-Optimal Tiled Hardware Accelerator for MCMC Image Processing.” In ACM Transactions on Architecture and Code Optimization (TACO), May 2025.
Yannis Chronis, Anastasia Ailamaki, Lawrence Benson, Helena Caminal, Jana Giceva, Dave Patterson, Eric Sedlar, and Lisa Wu Wills, “Databases in the Era of Memory-Centric Computing.” In the Proceedings of the Conference on Innovative Data Systems Research (CIDR), January 2025.
2024
Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, and Zhiyao Xie, “Transferable Pre-Synthesis PPA Estimation for RTL Designs With Data Augmentation Techniques.” In the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
2023
Ceyu Xu, Pragya Sharma, Tianshu Wang, and Lisa Wu Wills, “Fast, Robust, and Transferable Prediction for Hardware Logic Synthesis.” In the Proceedings of the International Symposium on Microarchitecture (MICRO), October 2023.
Wenji Fang, Yao Lu, Shang Liu, and Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, and Zhiyao Xie, “MasterRTL : A Pre-Synthesis PPA Estimation Framework for Any RTL Design.” In the Proceedings of the International Conference on Computer-Aided Design (ICCAD), October 2023
Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, and Jiang Hu, “Special Session: Machine Learning for Embedded System Design.” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), part of Embedded Systems Week (ESWEEK), September 2023.
Jiaao Ma, Ceyu Xu, and Lisa Wu Wills, “PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications.” In the Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), April 2023. Best Paper Award.
2022
Ceyu Xu, Chris Kjellqvist, and Lisa Wu Wills, “SNS’s not a Synthesizer : A Deep-Learning-Based Synthesis Predictor.” In the Proceedings of the International Symposium on Computer Architecture (ISCA), June 2022. IEEE Micro Top Pick Honorable Mention.
Isaac S. Robson, Ceyu Xu, and Lisa Wu Wills, “ProSE : The Architecture and Design of a Protein Discovery Engine. In the Proceedings of the ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), February 2022.
Phyllis Ang, Bhuwan Dhingra, and Lisa Wu Wills, “Characterizing the Efficiency vs Accuracy Trade-off for Long-Context NLP Models.” In the Proceedings of the Workshop on Efficient Benchmarking in NLP (NLP Power!), May 2022.
2021
Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu Wills, “Accelerating Genomic Data Analytics with Composable Hardware Acceleration Framework.” In the IEEE Micro Top Picks, Volume 41, Issue 3, May-June 2021.
Chris Kjellqvist, Lisa Wu Wills, and Alvin R. Lebeck, “A Case for Down-Scaled Burn-In for MCMC Accelerators”. IBM-IEEE AI Compute Symposium (AICS), October 2021.
2020
Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu Wills, “Genesis : A Hardware Acceleration Framework for Genomic Data Analysis.” International Symposium on Computer Architecture (ISCA), June 2020. IEEE Micro Top Pick.
2019 and Prior
Lisa Wu, David Bruns-Smith, Frank A. Nothaft, Qijing Huang, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanović, David A. Patterson, and Anthony D. Joseph, “FPGA Accelerated INDEL Realignment in the Cloud.” In the Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA), February 2019.
Lisa Wu, Frank A. Nothaft, Brendan Sweeney, David Bruns-Smith, Sagar Karandikar, Johnny Le, Howard Mao, Krste Asanovic, David A. Patterson, and Anthony D. Joseph, “Accelerating Duplicate Marking in the Cloud.” Workshop on Accelerator Architecture in Computational Biology and Bioinformatics (AACBB), held in conjunction with HPCA, February 2018.
Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Rajagopalan Satish, and Margaret Martonosi, “Graphicionado : High-Performance and Energy-Efficient Accelerator for Graph Analytics.” In the Proceedings of the International Symposium on Microarchitecture (MICRO), October 2016. Best Paper Award.
Lisa Wu, Andrea Lottarini, Timothy K. Paine, Martha A. Kim, and Kenneth A. Ross, “The Q100 Database Processing Unit.” In the IEEE Micro Top Picks, Volume 35, Issue 3, May-June 2015.
Lisa Wu, Orestis Polychroniou, Raymond J. Barker, Martha A. Kim, and Kenneth A. Ross, “Energy Analysis of Hardware and Software Range Partitioning.” ACM Transaction on Computer Systems (TOCS), Volume 32, Number 3, September 2014. Invited Article.
Lisa Wu, Raymond J. Barker, Martha A. Kim, and Kenneth A. Ross, “Hardware Partitioning for Big Data Analytics”. IEEE Micro Top Picks, Volume 34, Issue 3, May-June 2014.
Lisa Wu, Andrea Lottarini, Timothy K. Paine, Martha A. Kim, and Kenneth A. Ross, “Q100 : The Architecture and Design of a Database Processing Unit.” In the Proceedings of the ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2014. Best Paper Nominee. IEEE Micro Top Pick.
Lisa Wu, Raymond J. Barker, Martha A. Kim, and Kenneth A. Ross, “Navigating Big Datawith High-Throughput Energy-Efficient Data Partitioning.” In the Proceedings of the International Symposium on Computer Architecture (ISCA), June 2013. IEEE Micro Top Pick.
Lisa Wu and Martha A. Kim, “Acceleration Targets : A Study of Popular Benchmark Suites.” In the Proceedings of the Dark Silicon Workshop (DaSi), held in conjunction with ISCA, June 2012.
Lisa Wu, Martha A. Kim, and Stephen A. Edwards, “Cache Impacts of Datatype Acceleration.” In the IEEE Computer Architecture Letters (CAL) 2011. Best of CAL.
Chris Weaver, Rajeev Krishna, Lisa Wu, and Todd Austin, “Application Specific Architectures: A Recipe for Fast, Flexible, and Power Efficient Designs.” In the proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), November 2001. Invited Talk.
Lisa Wu, Chris Weaver, and Todd Austin, “Cryptomaniac : A Fast Flexible Architecture for Secure Communication.” International Symposium on Computer Architecture (ISCA), June 2001.