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Yuan Feng
I'm a 3-year Ph.D student in University of California, Merced, where I am so fortunately working with Prof. Hyeran Jeon.
Prior to that, I received my M.Sc from University of Edinburgh, and my B.E. from Xiamen University (those are all pretty beautifull cities, be sure to visit them!!).
My research areas are Computer Architecture (more specifically, GPGPU Architecture, Memory systems and their interaction with ML). I design high performance, robust, and engergy-efficient Hardware Architecture and Systems. My recent work focuses on designing architecture support for Multi-Chip GPU
Contact: yfeng44 [at] ucmerced [dot] edu
Resume /
LinkedIn
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Publications and Presentations
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[SC'24]
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Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link
Dong Xu, Yuan Feng, Kwangsik Shin, Daewoo Kim, Hyeran Jeon and Dong Li
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[ISCA'24]
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Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs
Yuan Feng, Seonjin Na, Hyesoon Kim, and Hyeran Jeon
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[IISWC'23]
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Regular-Decepticon: Understanding Vulnerabilities of
Transformers
Mujahid Al Rafi, Yuan Feng, Fan Yao, Meng Tang, Hyeran Jeon
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[arxiv Preprint]
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MEMO : Accelerating Transformers with Memoization on Big Memory Systems
Yuan Feng, Hyeran Jeon, Filip Blagojevic, Cyril Guyot, Qing Li, and Dong Li
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[GPGPU'23]
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Understanding Scalability of Multi-GPU Systems
Yuan Feng , Hyeran Jeon
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[MICRO'22 SRC]
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Accelerate Transformers with Efficient Memoization
Yuan Feng , Hyeran Jeon, Dong Li
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[NOPE'22, ASPLOS Workshop]
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Too Noisy To Extract: Pitfalls of Model Extraction Attacks
Mujahid Al Rafi, Yuan Feng , Hyeran Jeon
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Summer, 2024
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Research Intern, Futurewei (Mentor: Sang Wook Do)
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Summer, 2023
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Research Intern, Alibaba Cloud (Mentor: Jian Chen and Qixiao Liu)
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Conference Travel Grant
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MICRO' 22, ISCA' 24
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UC Merced Bobcat Graduate Research Fellowship
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2022,2023
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