Pengmiao Zhang

Pengmiao Zhang

University of Southern California

H-index: 6

North America-United States

About Pengmiao Zhang

Pengmiao Zhang, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Computer Engineering, Data Science.

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

Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching

ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers

Phases, modalities, spatial and temporal locality: Domain specific ml prefetcher for accelerating graph analytics

PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models

G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction

Phases, modalities, temporal and spatial locality: Domain specific ml prefetcher for accelerating graph analytics

Resemble: Reinforced ensemble framework for data prefetching

Sharp: Software hint-assisted memory access prediction for graph analytics

Pengmiao Zhang Information

University

Position

___

Citations(all)

88

Citations(since 2020)

88

Cited By

7

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Pengmiao Zhang Skills & Research Interests

Computer Engineering

Data Science

Top articles of Pengmiao Zhang

Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching

arXiv preprint arXiv:2401.06362

2023/12/23

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers

2023/12/18

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Phases, modalities, spatial and temporal locality: Domain specific ml prefetcher for accelerating graph analytics

2023/11/12

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models

2023/9/25

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction

2023/9/25

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

Phases, modalities, temporal and spatial locality: Domain specific ml prefetcher for accelerating graph analytics

arXiv preprint arXiv:2212.05250

2022/12/10

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

Resemble: Reinforced ensemble framework for data prefetching

2022/11/13

Sharp: Software hint-assisted memory access prediction for graph analytics

2022/9/19

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

A2P: Attention-based Memory Access Prediction for Graph Analytics [A2P: Attention-based Memory Access Prediction for Graph Analytics]

the 11th International Conference on Data Science, Technology and Applications

2022/7

Pengmiao Zhang
Pengmiao Zhang

H-Index: 2

Rajgopal Kannan
Rajgopal Kannan

H-Index: 18

Transformap: Transformer for memory access prediction

arXiv preprint arXiv:2205.14778

2022/5/29

Fine-grained address segmentation for attention-based variable-degree prefetching

2022/5/17

C-memmap: clustering-driven compact, adaptable, and generalizable meta-lstm models for memory access prediction

International Journal of Data Science and Analytics

2022/1

Raop: Recurrent neural network augmented offset prefetcher

2020/9/28

Memmap: Compact and generalizable meta-lstm models for memory access prediction

2020

See List of Professors in Pengmiao Zhang University(University of Southern California)