Bahar Asgari

Bahar Asgari

Georgia Institute of Technology

H-index: 12

North America-United States

About Bahar Asgari

Bahar Asgari, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Computer Architecture, Domain-Specific Architectures, Sparse Problems, Memory Systems.

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

Creating robust deep neural networks with coded distributed computing for iot

Context-Aware Task Handling in Resource-Constrained Robots with Virtualization

Memory-Based Computing for Energy-Efficient AI: Grand Challenges

LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference for IoT

Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge

Maia: Matrix Inversion Acceleration Near Memory

2021 Index IEEE Transactions on Computers Vol. 70

MAHASIM: Machine-learning hardware acceleration using a software-defined intelligent memory system

Bahar Asgari Information

University

Position

The School of Electrical and Computer Engineering

Citations(all)

608

Citations(since 2020)

545

Cited By

223

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Bahar Asgari Skills & Research Interests

Computer Architecture

Domain-Specific Architectures

Sparse Problems

Memory Systems

Top articles of Bahar Asgari

Title

Journal

Author(s)

Publication Date

Creating robust deep neural networks with coded distributed computing for iot

Ramyad Hadidi

Jiashen Cao

Bahar Asgari

Hyesoon Kim

2023/7/2

Context-Aware Task Handling in Resource-Constrained Robots with Virtualization

Ramyad Hadidi

Nima Shoghi Ghaleshahi

Bahar Asgari

Hyesoon Kim

2023/7/2

Memory-Based Computing for Energy-Efficient AI: Grand Challenges

Foroozan Karimzadeh

Mohsen Imani

Bahar Asgari

Ningyuan Cao

Yingyan Lin

...

2023/10/16

LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference for IoT

arXiv preprint arXiv:2003.06464

Ramyad Hadidi

Bahar Asgari

Jiashen Cao

Younmin Bae

Da Eun Shim

...

2020/3/13

Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge

Dheeraj Ramchandani

Bahar Asgari

Hyesoon Kim

2023/7/2

Maia: Matrix Inversion Acceleration Near Memory

Bahar Asgari

Dheeraj Ramchandani

Amaan Marfatia

Hyesoon Kim

2022/8/29

2021 Index IEEE Transactions on Computers Vol. 70

IEEE Transactions on Computers

T Abdelzaher

M Abusultan

B Akesson

AO Akmandor

R Akram

...

2022/1

MAHASIM: Machine-learning hardware acceleration using a software-defined intelligent memory system

Journal of Signal Processing Systems

Bahar Asgari

Saibal Mukhopadhyay

Sudhakar Yalamanchili

2021/6

EFFICIENTLY ACCELERATING SPARSE PROBLEMS BY ENABLING STREAM ACCESSES TO MEMORY USING HARDWARE/SOFTWARE TECHNIQUES

Bahar Asgari

2021/5/1

Quantifying the design-space tradeoffs in autonomous drones

Ramyad Hadidi

Bahar Asgari

Sam Jijina

Adriana Amyette

Nima Shoghi

...

2021/4/19

Fafnir: Accelerating sparse gathering by using efficient near-memory intelligent reduction

Bahar Asgari

Ramyad Hadidi

Jiashen Cao

Sung-Kyu Lim

Hyesoon Kim

2021/2/27

Efficiently solving partial differential equations in a partially reconfigurable specialized hardware

IEEE Transactions on Computers

Bahar Asgari

Ramyad Hadidi

Tushar Krishna

Hyesoon Kim

Sudhakar Yalamanchili

2021/2/19

Copernicus: Characterizing the performance implications of compression formats used in sparse workloads

Bahar Asgari

Ramyad Hadidi

Joshua Dierberger

Charlotte Steinichen

Amaan Marfatia

...

2021/11/7

Meissa: Multiplying matrices efficiently in a scalable systolic architecture

Bahar Asgari

Ramyad Hadidi

Hyesoon Kim

2020/10/18

Proposing a fast and scalable systolic array for matrix multiplication

Bahar Asgari

Ramyad Hadidi

Hyesoon Kim

2020/5/3

ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator

Bahar Asgari

Ramyad Hadidi

Tushar Krishna

Hyesoon Kim

Sudhakar Yalamanchili

2020/2/22

ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory

Bahar Asgari

Ramyad Hadidi

Hyesoon Kim

2020/3/9

See List of Professors in Bahar Asgari University(Georgia Institute of Technology)

Co-Authors

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