Hadi Esmaeilzadeh

About Hadi Esmaeilzadeh

Hadi Esmaeilzadeh, With an exceptional h-index of 40 and a recent h-index of 33 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Computer Architecture, Machine Learning, VLSI, Approximate Computing, Dark Silicon.

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

Tandem processor: Grappling with emerging operators in neural networks

Data motion acceleration: Chaining cross-domain multi accelerators

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations

MESA: Microarchitecture Extensions for Spatial Architecture Generation

Domain-specific computational storage for serverless computing

Methods and systems for integrating machine learning/analytics accelerators and relational database systems

Methods of providing data privacy for neural network based inference

Hadi Esmaeilzadeh Information

University

Position

Associate Professor; Computer Science and Engineering;

Citations(all)

11165

Citations(since 2020)

5896

Cited By

7937

hIndex(all)

40

hIndex(since 2020)

33

i10Index(all)

75

i10Index(since 2020)

61

Email

University Profile Page

Google Scholar

Hadi Esmaeilzadeh Skills & Research Interests

Computer Architecture

Machine Learning

VLSI

Approximate Computing

Dark Silicon

Top articles of Hadi Esmaeilzadeh

Tandem processor: Grappling with emerging operators in neural networks

2024/4/27

Data motion acceleration: Chaining cross-domain multi accelerators

2024/3/2

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators

arXiv preprint arXiv:2308.12120

2023/8/23

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations

arXiv preprint arXiv:2306.16767

2023/6/29

MESA: Microarchitecture Extensions for Spatial Architecture Generation

2023/6/17

Domain-specific computational storage for serverless computing

arXiv preprint arXiv:2303.03483

2023/3/6

Methods and systems for integrating machine learning/analytics accelerators and relational database systems

2023/2/23

Methods of providing data privacy for neural network based inference

2023/11/16

Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators

arXiv preprint arXiv:2310.17912

2023/10/27

Mixed-signal acceleration of deep neural networks

2022/11/3

Conscious empathic AI in service

Journal of Service Research

2022/11

Hadi Esmaeilzadeh
Hadi Esmaeilzadeh

H-Index: 31

Reza Vaezi
Reza Vaezi

H-Index: 5

Accelerating Federated Learning Through Attention on Local Model Updates

2022/10/21

Byung Hoon Ahn
Byung Hoon Ahn

H-Index: 2

Hadi Esmaeilzadeh
Hadi Esmaeilzadeh

H-Index: 31

Physically accurate learning-based performance prediction of hardware-accelerated ml algorithms

2022/9/12

Yin-Yang: Programming abstractions for cross-domain multi-acceleration

IEEE micro

2022/8/1

Glimpse: mathematical embedding of hardware specification for neural compilation

2022/7/10

Byung Hoon Ahn
Byung Hoon Ahn

H-Index: 2

Hadi Esmaeilzadeh
Hadi Esmaeilzadeh

H-Index: 31

Accelerating attention through gradient-based learned runtime pruning

2022/6/18

Exploring Efficient ML-based Scheduler for Microservices in Heterogenous Clusters

2022/5/6

In-Memory Near-Data Approximate Acceleration

2021/12/9

Faststereonet: A fast neural architecture search for improving the inference of disparity estimation on resource-limited platforms

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2021/11/9

Neuroweaver: a platform for designing intelligent closed-loop neuromodulation systems

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

2021/11/1

See List of Professors in Hadi Esmaeilzadeh University(University of California, San Diego)

Co-Authors

academic-engine