基本信息
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Bio
Qijing Jenny Huang is a PhD student in Computer Science at the University of California, Berkeley, advised by Prof. John Wawrzynek. Her interests are in computer architecture, computer-aided design, reconfigurable computing, and machine learning. She has been working on building efficient FPGA accelerators for emerging ML applications, HLS-based hardware/software flow, and ML-assisted HLS and compiler transformation. Her thesis work focuses on novel design and scheduling techniques for accelerating machine learning algorithms on heterogeneous spatial architecture.
Research Interests
Papers共 28 篇Author StatisticsCo-AuthorSimilar Experts
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Sehoon Kim,Coleman Hooper, Thanakul Wattanawong,Minwoo Kang, Ruohan Yan,Hasan Genc,Grace Dinh,Qijing Huang,Kurt Keutzer,Michael W. Mahoney,Yakun Sophia Shao,Amir Gholami
CoRR (2023)
56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023pp.209-224, (2023)
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) (2021): 554-566
ICML 2021 (2021)
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semanticscholar(2021)
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DAVID BRUNS-SMITH, FRANK NOTHAFT,QIJING HUANG, SAGAR KARANDIKAR,HOWARD MAO, BRENDAN SWEENEY, KRSTÉ ASANOVIC, DAVID PATTERSON, ANTHONY JOSEPH, JAE W LEE, LISA WU WILLS
semanticscholar(2021)
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