Lisa Wills | Scholars@Duke

Lisa Wills
Assistant Professor of Computer Science

Current Research Interests

I enjoy solving difficult problems surrounding computations with the goal to process large volumes of data efficiently. My research interests include computer architecture and microarchitecture, hardware-software co-designs, accelerators, and emerging application domains ― especially those in big data analytics such as genomics, graphs, and databases. One of my research goals is to greatly simplify the design, deployment, and usage of custom hardware and to leverage this research in hardware acceleration to advance state-of-the-art research in the healthcare domain as well as other natural sciences.

Current Appointments & Affiliations

Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2019
Assistant Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2019

Contact Information

D304 Lsrc, 308 Research Drive, Durham, NC 27708
D304 Lsrc, 308 Research Drive, Durham, NC 27708
lisa.wills@duke.edu
APEX Lab @ Duke | Application-driven Programmable Efficient Accelerated Systems Lab
Lisa Wu Wills | Assistant Professor @ Duke

Background
Education, Training, & Certifications
- Ph.D., Columbia University 2014
Recognition
In the News
- OCT 15, 2019 Duke Stories
  
  New Faculty, Bold Thinking
Research
Selected Grants
- AI Institute: Athena: AI-Driven Next-generation Networks at the Edge awarded by National Science Foundation 2021 - 2026
- CAREER: Effectuating Hardware-Accelerated Systems with Domain-Specific Primitives awarded by National Science Foundation 2021 - 2026
- Applications Driving Architectures (ADA) Center awarded by Regents of the University of Michigan 2021 - 2022
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Ham, T. J., Y. Lee, S. H. Seo, U. G. Song, J. W. Lee, D. Bruns-Smith, B. Sweeney, K. Asanovic, Y. H. Oh, and L. W. Wills. “Accelerating Genomic Data Analytics with Composable Hardware Acceleration Framework.” Ieee Micro 41, no. 3 (May 1, 2021): 42–49. https://doi.org/10.1109/MM.2021.3072385.
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  - Wills, L. W., and K. Swaminathan. “Guest Editorial: IEEE TC Special Issue on Domain-Specific Architectures for Emerging Applications.” Ieee Transactions on Computers 69, no. 8 (August 1, 2020): 1096–98. https://doi.org/10.1109/TC.2020.3002674.
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  - Wu, L., A. Lottarini, T. K. Paine, M. A. Kim, and K. A. Ross. “The Q100 Database Processing Unit.” Ieee Micro 35, no. 3 (May 1, 2015): 34–46. https://doi.org/10.1109/MM.2015.51.
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  - Wu, L., O. Polychroniou, R. J. Barker, M. A. Kim, and K. A. Ross. “Energy analysis of hardware and software range partitioning.” Acm Transactions on Computer Systems 32, no. 3 (September 23, 2014). https://doi.org/10.1145/2638550.
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  - Wu, L., R. J. Barker, M. A. Kim, and K. A. Ross. “Hardware partitioning for big data analytics.” Ieee Micro 34, no. 3 (January 1, 2014): 109–19. https://doi.org/10.1109/MM.2014.11.
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  - Wu, L., M. Kim, and S. Edwards. “Cache impacts of datatype acceleration.” Ieee Computer Architecture Letters 11, no. 1 (January 1, 2012): 21–24. https://doi.org/10.1109/L-CA.2011.25.
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  - Wu, L., C. Weaver, and T. Austin. “CryptoManiac: A fast flexible architecture for secure communication.” Conference Proceedings Annual International Symposium on Computer Architecture, Isca, January 1, 2001, 110–19. https://doi.org/10.1109/ISCA.2001.937439.
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- Conference Papers
  - Xu, C., C. Kjellqvist, and L. W. Wills. “SNS's not a Synthesizer: A Deep-Learning-Based Synthesis Predictor.” In Proceedings International Symposium on Computer Architecture, 847–59, 2022. https://doi.org/10.1145/3470496.3527444.
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  - Robson, E., C. Xu, and L. W. Wills. “Prose: The architecture and design of a protein discovery engine.” In International Conference on Architectural Support for Programming Languages and Operating Systems Asplos, 655–68, 2022. https://doi.org/10.1145/3503222.3507722.
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  - Ang, P., B. Dhingra, and L. W. Wills. “Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models.” In Nlp Power 2022 1st Workshop on Efficient Benchmarking in Nlp, Proceedings of the Workshop, 113–21, 2022.
  - Ham, T. J., D. Bruns-Smith, B. Sweeney, Y. Lee, S. H. Seo, U. G. Song, Y. H. Oh, K. Asanovic, J. W. Lee, and L. W. Wills. “Genesis: A Hardware Acceleration Framework for Genomic Data Analysis.” In Proceedings International Symposium on Computer Architecture, 2020-May:254–67, 2020. https://doi.org/10.1109/ISCA45697.2020.00031.
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  - Wu, L., D. Bruns-Smith, F. A. Nothaft, Q. Huang, S. Karandikar, J. Le, A. Lin, et al. “FPGA Accelerated INDEL realignment in the cloud.” In Proceedings 25th Ieee International Symposium on High Performance Computer Architecture, Hpca 2019, 277–90, 2019. https://doi.org/10.1109/HPCA.2019.00044.
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  - Ham, T. J., L. Wu, N. Sundaram, N. Satish, and M. Martonosi. “Graphicionado: A high-performance and energy-efficient accelerator for graph analytics.” In Proceedings of the Annual International Symposium on Microarchitecture, Micro, Vol. 2016-December, 2016. https://doi.org/10.1109/MICRO.2016.7783759.
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  - Wu, L., A. Lottarini, T. K. Paine, M. A. Kim, and K. A. Ross. “Q100: The architecture and design of a Database Processing Unit.” In International Conference on Architectural Support for Programming Languages and Operating Systems Asplos, 255–68, 2014. https://doi.org/10.1145/2541940.2541961.
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  - Wu, L., R. J. Barker, M. A. Kim, and K. A. Ross. “Navigating big data with high-throughput, energy-efficient data partitioning.” In Proceedings International Symposium on Computer Architecture, 249–60, 2013. https://doi.org/10.1145/2485922.2485944.
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  - Weaver, C., R. Krishna, L. Wu, and T. Austin. “Application specific architectures: A recipe for fast, flexible and power efficient designs.” In Cases 2001 Proceedings of the 2001 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, 181–85, 2001. https://doi.org/10.1145/502217.502247.
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  - Wu, Lisa, Chris Weaver, and Todd Austin. “CryptoManiac.” In Proceedings of the 28th Annual International Symposium on Computer Architecture Isca ’01. ACM Press, 2001. https://doi.org/10.1145/379240.379256.
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Teaching & Mentoring
Recent Courses

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Education, Training, & Certifications

In the News

Selected Grants

Selected Publications

Academic Articles

Conference Papers

Recent Courses