I am actively looking for self-motivated and talented students to join my research group and have several funded positions. If you are interested, please drop me a brief email with your CV.
02/2023. Three papers accepted DAC 2023. Congratulations to Yingheng, Bingyao, Yueqi, and Mehrnoosh.
01/2023. One paper accepted as Spotlight at ICLR 2023. Congratulations to Sheng.
10/2022. Three papers accepted HPCA 2023. Congratulations to Bingyao, Yue, and Mehrnoosh.
10/2022. One paper accepted Neurips 2022.
09/2022. One paper accepted ECCV 2022.
Bingyao Li, (Ph.D. candidate)
Sheng Li, (Ph.D. candidate)
Yue Dai, (Ph.D. candidate, co-advise with Dr.Youtao Zhang)
Mehrnoosh Raoufi, (Ph.D. candidate, co-advise with Dr.Youtao Zhang)
Yueqi Wang, (Ph.D. candidate)
Tiangyu Wang, (Ph.D. candidate)
Yingheng Li, (Ph.D. candidate)
NSF CCF SHF Award. PI. Thanks NSF!
NSF FoMR Award. Co-PI. Thanks NSF and Intel!
(DAC 2023) Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors (To appear).
(DAC 2023) Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs (To appear).
(DAC 2023) EP-ORAM: Efficient NVM-Friendly Path Eviction for Ring ORAM in Hybrid Memory (To appear).
(ICLR 2023 Spotlight) SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing (To appear).
(HPCA 2023) Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding (To appear).
(HPCA 2023) CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks (To appear).
(NeurIPS 2022) Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.
(ECCV 2022) You Already Have It: A Generator-Free Low-Precision DNN Training Framework using Stochastic Rounding.
(SIGMETRICS 2021) Mix and Match: Reorganizing Tasks for Enhancing Data Locality.
(PLDI 2021) Distance-in-Time versus Distance-in-Space.
(AAAI 2021) YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
(PPoPP 2021) Compiler Support for Near Data Computing .
(ISCA 2019) Opportunistic Computing in GPU Architectures.
(SIGMETRICS 2019) Architecture-Aware Approximate Computing.
(SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs.
(SIGMETRICS 2019) Computing with Near Data.
(MICRO 2017) Data Movement Aware Computation Partitioning.
(PLDI 2015) Optimizing Off-Chip Accesses in Manycores.
(SIGMETRICS 2015) Memory Row Reuse Distance and its Role in Optimizing Application Performance.
CS 2410 Computer Architecture, Spring 2023
CS 3410 Advanced Topics Computer Architecture, Fall 2022
CS 2410 Computer Architecture, Spring 2022
CS 2410 Computer Architecture, Spring 2021
CS 1541 Introduction to Computer Architecture, Spring 2021
CS 2210 Compiler design, Spring 2020
Zhongxuan Song (Master)
Weizheng Xu (Master)
Zachary Michael Smith (Master)
Thomas Matthew Dicarlo (Master)
Antony Paul (Master)
Yuan Yao (Master, Next move: Bloomberg LP)
Ziyu Zhang (Master, Next move: Apple)
Yilun Zhao (Ph.D. candidate, Next move: Ph.D.@ICT-CAS)
Qi Xue (Undergrad, Next move: MS at UPenn)
Updated 02/2023