Computer Systems Lab, Cornell University
[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]
[01/19/22] Xiuyu Receives the Honorable Mention of 2022 CRA Outstanding Undergraduate Researcher Award!
[01/16/22] HeteroFlow and HiSparse Accepted to FPGA 2022!
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.
Learn more...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.
Learn more...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 ...
Learn more...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 ...
Learn more...Principle Investigator
MS/PhD, started FA'18
Jordan Dotzel
MS/PhD, started FA'19, co-advised by Prof. Abdelfattah
MS/PhD, started FA'19
MS/PhD, started FA'19, co-advised by Prof. Christina Delimitrou
MS/PhD, started SU'20
Zichao Yue
MS/PhD, started SU'20
MS/PhD, started SP'21
MS/PhD, started FA'21
MS/PhD, started FA'21
MS/PhD, started FA'22
Jasmin An
M.Eng., started SP'21
Chih-Yu Chang
M.Eng, started FA'22
Samantha Cobado
M.Eng, started FA'22
Ali M. Taha
M.Eng, started FA'22
YoungSeok Na
Undergrad, started SP'20
Leixu Huang
Undergrad, started SP'21
Angela Cui
Undergrad, started SU'22
Raphael Thesmar
Undergrad, started SU'22
Ethan Gabizon
Undergrad, started SU'22
Zhanqiu Hu
Undergrad, started FA'22
Undergrad, started FA'22
Anant Shyam
Undergrad, started FA'22
Vivian Fan
Undergrad, started FA'22
Zhongyuan Zhao
PostDoc, 2020-2023
Now with Qualcomm, San Diego, CA.
Gai Liu
PhD, 2013-2018
Now with TikTok, Mountain View, CA.
Qiang You
Visiting PhD, Tsinghua Univ., 2018.
Now with Now at Sinovation Ventures AI Institute, Beijing, China.
Chang Xu
Visiting PhD, Peking Univ., 2015-2016.
Now with IBM Research, Beijing, China.
Mingxing Tan
PostDoc, 2013-2015.
Now with Waymo Research, Mountain View, CA.