Recent News

[03/07/24] Niansong and Hongzheng Win the Best Paper Award at FPGA'24!

[02/28/24] Congratulations to Chenhui Deng for completing his Ph.D. degree!

[10/27/23] Yichi Zhang has successfully completed his PhD. Congratulations!

[05/06/23] Yixiao wins 2022-23 Outstanding TA Award!

[05/03/23] Samantha Cobado's poster awarded "Best in AI" at ECE M.Eng. Poster Session

[02/28/23] HeteroCL v0.5 released!

[01/10/23] Zhang Research Group Joined the ACE Center for Evolvable Computing

[12/06/22] Prof. Zhiru Zhang elevated to IEEE Fellow

[11/24/22] GARNET is accepted to LoG'22 as a spotlight paper.

[10/13/22] Ecenur Üstün successfully defends her dissertation. Good luck, Ecenur!

[09/15/22] Chenhui and Andrew win the 2022 Qualcomm Innovation Fellowship!

[05/26/22] Prof. Zhang Chaired the IEEE FCCM 2022 Conference at Cornell Tech, NYC

[03/01/22] SDC scheduling inducted into ACM/SIGDA TCFPGA Hall of Fame! [Paper Link]

[03/01/22] RapidStream Received the FPGA'22 Best Paper Award! [Paper Link]

More News

Research Projects

Algorithm-Hardware Co-Design for Machine Learning Acceleration

Our group is investigating various accelerator architectures for compute-intensive machine learning applications, where we employ an algorithm-hardware co-design approach to achieving both high performance and low energy.

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Multi-Paradigm Programming for Heterogeneous Platforms

we are developing HeteroCL, a highly productive multi-paradigm programming infrastructure that explicitly embraces heterogeneity to integrate a variety of programming models into a single, unified programming interface.

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High-Level Synthesis of Fast and Secure Accelerators

We are developing a new generation of HLS techniques that feature scalable cross-layer synthesis and exact optimization, complexity-effective dynamic scheduling, trace-based analysis, and information flow enforcement to enable a greatly simplified hardware design experience, while achieving a high performance ...

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Learning-Assisted IC Design Closure

We believe there is a great potential for employing ML across different stages of the design automation stack to expedite design closure by (1) minimizing human supervision in the overall design tuning process and (2) significantly reducing the time required to obtain accurate QoR estimation for a given design point ...

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Prof. Zhiru Zhang

Principle Investigator

Graduate and PostDoc Researchers

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Hanchen Jin

MS/PhD, started SP'18

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Chenhui Deng

MS/PhD, started FA'18

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Shaojie Xiang

MS/PhD, started FA'18

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Jordan Dotzel

MS/PhD, started FA'19, co-advised by Prof. Abdelfattah

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Jie Liu

MS/PhD, started FA'19

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Nikita Lazarev

MS/PhD, started FA'19, co-advised by Prof. Christina Delimitrou

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Yixiao Du

MS/PhD, started SU'20

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Zichao Yue

MS/PhD, started SU'20

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Yaohui Cai

MS/PhD, started SP'21

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Niansong Zhang

MS/PhD, started FA'21

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Jiajie Li

MS/PhD, started FA'21

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Andrew Butt

MS/PhD, started FA'21

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Hongzheng Chen

MS/PhD, started FA'21

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Matthew Hofmann

MS/PhD, started FA'22

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Zhanqiu Hu

MS/PhD, started FA'23, co-advised by Prof. Udit Gupta

Alumni

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Dingyi Dai

MS, 2021-2023

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Yichi Zhang

PhD, 2018-2023

Now with Google, Mountain View, CA.

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Zhongyuan Zhao

PostDoc, 2020-2023

Now with Qualcomm, San Diego, CA.

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Qi Sun

PostDoc, 2022-2023

Now with Zhejiang University, Hangzhou, China.

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Ecenur Ustun

PhD, 2016-2022

Now with Meta Reality Labs, Redmond, WA.

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Debjit Pal

PostDoc, 2019-2022.

Now with University of Illinois Chicago, Chicago, IL.

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Yuwei Hu

MS, 2018-2021

Now with Huawei, Beijing, China.

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Yi-Hsiang (Sean) Lai

PhD, 2016-2021.

Now with AWS AI, Santa Clara, CA.

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Yuan Zhou

PhD, 2015-2021

Now with AWS AI, Santa Clara, CA.

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Nitish Srivastava

PhD, 2014-2020

Now with Google, Mountain View, CA.

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Ritchie Zhao

PhD, 2014-2019

Now with Microsoft, Redmond, WA.

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Cunxi Yu

PostDoc, 2018-2019

Now with University of Utah, Salt Lake city, UT.

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Zhenghong (John) Jiang

PostDoc, 2016-2019

Now with Cadence, San Jose, CA.

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Steve Dai

PhD, 2013-2018

Now with NVIDIA Research, Santa Clara, CA.

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Gai Liu

PhD, 2013-2018

Now with TikTok, Mountain View, CA.

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Qiang You

Visiting PhD, Tsinghua Univ., 2018.

Now with Now at Sinovation Ventures AI Institute, Beijing, China.

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Chang Xu

Visiting PhD, Peking Univ., 2015-2016.

Now with IBM Research, Beijing, China.

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Mingxing Tan

PostDoc, 2013-2015.

Now with Waymo Research, Mountain View, CA.