Zhiru Zhang

Zhiru Zhang

Cornell University

H-index: 40

North America-United States

About Zhiru Zhang

Zhiru Zhang, With an exceptional h-index of 40 and a recent h-index of 34 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Design Automation, HLS, Accelerators, FPGAs, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

UniSparse: An Intermediate Language for General Sparse Format Customization

Binarized Neural Machine Translation

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs

LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling

Allo: A Programming Model for Composable Accelerator Design

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel

Formal Verification of Source-to-Source Transformations for HLS

Zhiru Zhang Information

University

Position

___

Citations(all)

6926

Citations(since 2020)

4567

Cited By

3564

hIndex(all)

40

hIndex(since 2020)

34

i10Index(all)

96

i10Index(since 2020)

73

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Zhiru Zhang Skills & Research Interests

Design Automation

HLS

Accelerators

FPGAs

Machine Learning

Top articles of Zhiru Zhang

Title

Journal

Author(s)

Publication Date

UniSparse: An Intermediate Language for General Sparse Format Customization

arXiv preprint arXiv:2403.05802

Jie Liu

Zhongyuan Zhao

Zijian Ding

Benjamin Brock

Hongbo Rong

...

2024/3/9

Binarized Neural Machine Translation

Advances in Neural Information Processing Systems

Yichi Zhang

Ankush Garg

Yuan Cao

Lukasz Lew

Behrooz Ghorbani

...

2024/2/13

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs

Hongzheng Chen

Jiahao Zhang

Yixiao Du

Shaojie Xiang

Zichao Yue

...

2024/4/1

LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling

Yueying Li

Nikita Lazarev

David Koufaty

Tenny Yin

Andy Anderson

...

2024

Allo: A Programming Model for Composable Accelerator Design

arXiv preprint arXiv:2404.04815

Hongzheng Chen

Niansong Zhang

Shaojie Xiang

Zhichen Zeng

Mengjia Dai

...

2024/4/7

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs

arXiv preprint arXiv:2401.17544

Dingyi Dai

Yichi Zhang

Jiahao Zhang

Zhanqiu Hu

Yaohui Cai

...

2024/1/31

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel

arXiv preprint arXiv:2402.13536

Jordan Dotzel

Bahaa Kotb

James Dotzel

Mohamed Abdelfattah

Zhiru Zhang

2024/2/21

Formal Verification of Source-to-Source Transformations for HLS

Louis-Noël Pouchet

Emily Tucker

Niansong Zhang

Hongzheng Chen

Debjit Pal

...

2024/4/1

Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models

arXiv preprint arXiv:2404.04900

Jordan Dotzel

Yash Akhauri

Ahmed S AbouElhamayed

Carly Jiang

Mohamed Abdelfattah

...

2024/4/7

SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds

arXiv preprint arXiv:2402.08653

Wuxinlin Cheng

Chenhui Deng

Ali Aghdaei

Zhiru Zhang

Zhuo Feng

2024/2/13

Decoupled Model Schedule for Deep Learning Training

arXiv e-prints

Hongzheng Chen

Cody Hao Yu

Shuai Zheng

Zhen Zhang

Zhiru Zhang

...

2023/2

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

IEEE Journal of Solid-State Circuits

Shreyas Kolala Venkataramanaiah

Jian Meng

Han-Sok Suh

Injune Yeo

Jyotishman Saikia

...

2023/5/15

RapidStream 2.0: Automated Parallel Implementation of Latency–Insensitive FPGA Designs Through Partial Reconfiguration

ACM Transactions on Reconfigurable Technology and Systems

Licheng Guo

Pongstorn Maidee

Yun Zhou

Chris Lavin

Eddie Hung

...

2023/9/1

An Intermediate Language for General Sparse Format Customization

IEEE Computer Architecture Letters

Jie Liu

Zhongyuan Zhao

Zijian Ding

Benjamin Brock

Hongbo Rong

...

2023/3/28

Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures

arXiv preprint arXiv:2308.06227

Ruirong Huang

Zichao Yue

Caroline Huang

Janarbek Matai

Zhiru Zhang

2023/8/11

Supporting a Virtual Vector Instruction Set on a Commercial Compute-in-SRAM Accelerator

IEEE Computer Architecture Letters

Courtney Golden

Dan Ilan

Caroline Huang

Niansong Zhang

Zhiru Zhang

...

2023/12/11

A Case for Open EDA Verticals

Zhiru Zhang

Matthew Hofmann

Andrew Butt

2023/3/26

TAPA: a scalable task-parallel dataflow programming framework for modern FPGAs with co-optimization of HLS and physical design

ACM Transactions on Reconfigurable Technology and Systems

Licheng Guo

Yuze Chi

Jason Lau

Linghao Song

Xingyu Tian

...

2023/12/5

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search

arXiv preprint arXiv:2308.03290

Jordan Dotzel

Gang Wu

Andrew Li

Muhammad Umar

Yun Ni

...

2023/8/7

Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training

arXiv preprint arXiv:2302.08005

Hongzheng Chen

Cody Hao Yu

Shuai Zheng

Zhen Zhang

Zhiru Zhang

...

2023/2/16

See List of Professors in Zhiru Zhang University(Cornell University)

Co-Authors

H-index: 57
Deming Chen

Deming Chen

University of Illinois at Urbana-Champaign

H-index: 43
Edward Suh

Edward Suh

Cornell University

H-index: 32
Christopher De Sa

Christopher De Sa

Cornell University

H-index: 26
Christopher Batten

Christopher Batten

Cornell University

H-index: 26
Yiping Fan

Yiping Fan

University of California, Los Angeles

H-index: 12
Licheng Guo

Licheng Guo

University of California, Los Angeles

academic-engine