Alireza Khadem

Alireza Khadem

University of Michigan

H-index: 2

North America-United States

About Alireza Khadem

Alireza Khadem, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Hardware Support for Deep Learning, FPGAs and Reconfigurable Computing, Parallel Computing.

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

Vector-Processing for Mobile Devices: Benchmark and Analysis

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows

Multi-Layer In-Memory Processing

CoDR: Computation and Data Reuse Aware CNN Accelerator

Design challenges of neural network acceleration using stochastic computing

Computation reuse-aware accelerator for neural networks

Alireza Khadem Information

University

Position

Graduate Student

Citations(all)

20

Citations(since 2020)

20

Cited By

7

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Alireza Khadem Skills & Research Interests

Hardware Support for Deep Learning

FPGAs and Reconfigurable Computing

Parallel Computing

Top articles of Alireza Khadem

Vector-Processing for Mobile Devices: Benchmark and Analysis

2023/10/1

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

2023/6/17

PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows

2023/4/17

Multi-Layer In-Memory Processing

2022/10/1

CoDR: Computation and Data Reuse Aware CNN Accelerator

arXiv preprint arXiv:2104.09798

2021/4/20

Design challenges of neural network acceleration using stochastic computing

arXiv preprint arXiv:2006.05352

2020/6/8

Alireza Khadem
Alireza Khadem

H-Index: 1

Computation reuse-aware accelerator for neural networks

2020

See List of Professors in Alireza Khadem University(University of Michigan)

Co-Authors

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