基本信息
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职业迁徙
个人简介
Research Interests
I am the technical lead behind VTA, an open-sourced deep learning acceleration hardware/software stack. I am also involved as a PMC member to Apache TVM, the open end-to-end compiler for deep learning systems.
In 2018 I co-organized with Grigori Fursin the first ACM ReQuEST tournament on reproducible and Pareto-Efficient deep learning systems research co-located at the ASPLOS 2018 conference.
As part of my Master's degree, I developed SNNAP, a co-processor prototype that can improve the energy efficiency of programs by approximating regions of code with neural networks. This work was presented at HPCA 2015.
I am the technical lead behind VTA, an open-sourced deep learning acceleration hardware/software stack. I am also involved as a PMC member to Apache TVM, the open end-to-end compiler for deep learning systems.
In 2018 I co-organized with Grigori Fursin the first ACM ReQuEST tournament on reproducible and Pareto-Efficient deep learning systems research co-located at the ASPLOS 2018 conference.
As part of my Master's degree, I developed SNNAP, a co-processor prototype that can improve the energy efficiency of programs by approximating regions of code with neural networks. This work was presented at HPCA 2015.
研究兴趣
论文共 34 篇作者统计合作学者相似作者
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Stanley-Marbell Phillip, Alaghi Armin, Carbin Michael, Darulova Eva, Dolecek Lara, Gerstlauer Andreas,Gillani Ghayoor, Jevdjic Djordje,Moreau Thierry,Cacciotti Mattia, Daglis Alexandros, Jerger Natalie Enright,
ACM Computing Surveysno. 3 (2020): 1-39
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arXiv: Learning (2019)
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Luis Ceze, Natalie D. Enright Jerger,Babak Falsafi,Grigori Fursin,Anton Lokhmotov,Thierry Moreau,Adrian Sampson,Phillip Stanley-Marbell
dblp(2018)
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