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ORCIDLisa Wu Wills
Person information
- affiliation: Duke University, NC, USA
- affiliation (former): Columbia University, NY, USA
- affiliation (former): UC Berkeley, CA, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Lisa Wu 0002 — IBM Toronto Software Laboratory, Canada
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2020 – today
- 2024
[i3]Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills:
VcLLM: Video Codecs are Secretly Tensor Codecs. CoRR abs/2407.00467 (2024)- 2023
- [c13]Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37 - [c12]Wenji Fang
, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie:
MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. ICCAD 2023: 1-9 - [c11]Jiaao Ma, Ceyu Xu, Lisa Wu Wills:
PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications. ISPASS 2023: 24-34 - [c10]Ceyu Xu, Pragya Sharma, Tianshu Wang, Lisa Wu Wills:
Fast, Robust and Transferable Prediction for Hardware Logic Synthesis. MICRO 2023: 167-179 - [i2]Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie:
MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. CoRR abs/2311.08441 (2023) - 2022
- [c9]Eyes Robson, Ceyu Xu, Lisa Wu Wills:
ProSE: the architecture and design of a protein discovery engine. ASPLOS 2022: 655-668 - [c8]Ceyu Xu, Chris Kjellqvist, Lisa Wu Wills:
SNS's not a synthesizer: a deep-learning-based synthesis predictor. ISCA 2022: 847-859 - [i1]Phyllis Ang, Bhuwan Dhingra, Lisa Wu Wills:
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models. CoRR abs/2204.07288 (2022) - 2021
- [j6]Tae Jun Ham, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Jae W. Lee, David Bruns-Smith, Brendan Sweeney, Krste Asanovic, Young H. Oh, Lisa Wu Wills:
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework. IEEE Micro 41(3): 42-49 (2021) - 2020
- [j5]Lisa Wu Wills, Karthik Swaminathan:
Guest Editorial: IEEE TC Special Issue on Domain-Specific Architectures for Emerging Applications. IEEE Trans. Computers 69(8): 1096-1098 (2020) - [c7]Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills:
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. ISCA 2020: 254-267
2010 – 2019
- 2019
- [c6]Lisa Wu, David Bruns-Smith, Frank A. Nothaft, Qijing Huang, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanovic, David A. Patterson, Anthony D. Joseph:
FPGA Accelerated INDEL Realignment in the Cloud. HPCA 2019: 277-290 - 2016
- [c5]Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi:
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO 2016: 56:1-56:13 - 2015
- [j4]Lisa Wu, Andrea Lottarini, Timothy K. Paine, Martha A. Kim, Kenneth A. Ross:
The Q100 Database Processing Unit. IEEE Micro 35(3): 34-46 (2015) - 2014
- [j3]Lisa Wu, Raymond J. Barker, Martha A. Kim, Kenneth A. Ross:
Hardware Partitioning for Big Data Analytics. IEEE Micro 34(3): 109-119 (2014) - [j2]Lisa Wu, Orestis Polychroniou, Raymond J. Barker, Martha A. Kim, Kenneth A. Ross:
Energy Analysis of Hardware and Software Range Partitioning. ACM Trans. Comput. Syst. 32(3): 8:1-8:24 (2014) - [c4]Lisa Wu, Andrea Lottarini, Timothy K. Paine, Martha A. Kim, Kenneth A. Ross:
Q100: the architecture and design of a database processing unit. ASPLOS 2014: 255-268 - 2013
- [c3]Lisa Wu, Raymond J. Barker, Martha A. Kim, Kenneth A. Ross:
Navigating big data with high-throughput, energy-efficient data partitioning. ISCA 2013: 249-260 - 2012
- [j1]Lisa Wu, Martha A. Kim, Stephen A. Edwards:
Cache Impacts of Datatype Acceleration. IEEE Comput. Archit. Lett. 11(1): 21-24 (2012)
2000 – 2009
- 2001
- [c2]Christopher T. Weaver, Rajeev Krishna, Lisa Wu, Todd M. Austin:
Application specific architectures: a recipe for fast, flexible and power efficient designs. CASES 2001: 181-185 - [c1]Lisa Wu, Christopher T. Weaver, Todd M. Austin:
CryptoManiac: a fast flexible architecture for secure communication. ISCA 2001: 110-119
Coauthor Index
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