Dong Li

Dong Li

University of California, Merced

H-index: 31

North America-United States

About Dong Li

Dong Li, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at University of California, Merced, specializes in the field of High Performance Computing, Parallel and Distributed Systems.

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

Enabling Large Dynamic Neural Network Training with Learning-based Memory Management

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications

A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness

Betty: Enabling large-scale gnn training with batch-level graph partitioning

Large scale caching and streaming of training data for online deep learning

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications

Campo:{Cost-Aware} performance optimization for {Mixed-Precision} neural network training

Dong Li Information

University

Position

___

Citations(all)

3700

Citations(since 2020)

1992

Cited By

2376

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

64

i10Index(since 2020)

50

Email

University Profile Page

University of California, Merced

Google Scholar

View Google Scholar Profile

Dong Li Skills & Research Interests

High Performance Computing

Parallel and Distributed Systems

Top articles of Dong Li

Title

Journal

Author(s)

Publication Date

Enabling Large Dynamic Neural Network Training with Learning-based Memory Management

Jie Ren

Dong Xu

Shuangyan Yang

Jiacheng Zhao

Zhicheng Li

...

2024/3/2

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications

Wenqian Dong

Gokcen Kestor

Dong Li

2023/8/7

A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation

Parallel Computing

Zeshi Liu

Zhen Xie

Wenqian Dong

Mengting Yuan

Haihang You

...

2023/7/1

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness

Zhen Xie

Jie Liu

Jiajia Li

Dong Li

2023/2/25

Betty: Enabling large-scale gnn training with batch-level graph partitioning

Shuangyan Yang

Minjia Zhang

Wenqian Dong

Dong Li

2023/1/27

Large scale caching and streaming of training data for online deep learning

Jie Liu

Bogdan Nicolae

Dong Li

Justin M Wozniak

Tekin Bicer

...

2022/7/1

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications

Zhen Xie

Jie Liu

Sam Ma

Jiajia Li

Dong Li

2022/4/2

Campo:{Cost-Aware} performance optimization for {Mixed-Precision} neural network training

Xin He

Jianhua Sun

Hao Chen

Dong Li

2022

Lobster: Load balance-aware i/o for distributed dnn training

Jie Liu

Bogdan Nicolae

Dong Li

2022/8/29

Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU

Zhen Xie

Wenqian Dong

Jiawen Liu

Hang Liu

Dong Li

2021/4/21

Athena: High-performance sparse tensor contraction sequence on heterogeneous memory

Jiawen Liu

Dong Li

Roberto Gioiosa

Jiajia Li

2021/6/3

{ArchTM}:{Architecture-Aware}, high performance transaction for persistent memory

Kai Wu

Jie Ren

Ivy Peng

Dong Li

2021

Fast, flexible, and comprehensive bug detection for persistent memory programs

Bang Di

Jiawen Liu

Hao Chen

Dong Li

2021/4/19

MD-HM: memoization-based molecular dynamics simulations on big memory system

Zhen Xie

Wenqian Dong

Jie Liu

Ivy Peng

Yanbao Ma

...

2021/6/3

Unimem: Runtime data management on non-volatile memory-based heterogeneous main memory for high performance computing

Journal of Computer Science and Technology

Kai Wu

Dong Li

2021/1

Trust: Triangle Counting Reloaded on GPUs

IEEE Transactions on Parallel and Distributed Systems

Santosh Pandey

Zhibin Wang

Sheng Zhong

Chen Tian

Bolong Zheng

...

2021/3/9

Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators

Xin He

Jiawen Liu

Zhen Xie

Hao Chen

Guoyang Chen

...

2021/6/3

{Zero-offload}: Democratizing {billion-scale} model training

Jie Ren

Samyam Rajbhandari

Reza Yazdani Aminabadi

Olatunji Ruwase

Shuangyan Yang

...

2021

Sentinel: Efficient tensor migration and allocation on heterogeneous memory systems for deep learning

Jie Ren

Jiaolin Luo

Kai Wu

Minjia Zhang

Hyeran Jeon

...

2021/2/27

TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling

ACM Transactions on Architecture and Code Optimization (TACO)

Bang Di

Daokun Hu

Zhen Xie

Jianhua Sun

Hao Chen

...

2021/12/6

See List of Professors in Dong Li University(University of California, Merced)

Co-Authors

H-index: 64
Martin Schulz

Martin Schulz

Technische Universität München

H-index: 41
Sparsh Mittal

Sparsh Mittal

Indian Institute of Technology Roorkee

H-index: 39
Xipeng Shen

Xipeng Shen

North Carolina State University

H-index: 33
Weikuan Yu

Weikuan Yu

Florida State University

H-index: 33
Kirk Cameron

Kirk Cameron

Virginia Polytechnic Institute and State University

H-index: 24
Rong Ge

Rong Ge

Clemson University

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