Aqeeb Iqbal Arka

Aqeeb Iqbal Arka

Washington State University

H-index: 7

North America-United States

About Aqeeb Iqbal Arka

Aqeeb Iqbal Arka, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Washington State University, specializes in the field of NoC Design, Heteregeneous System Design, Machine Learning, Processing In Memory.

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

Fault-tolerant Deep Learning using Regularization

Accelerating large-scale graph neural network training on crossbar diet

Hardware Accelerators for Machine Learning: From 3D Manycore to Processing-in-Memory Architectures

Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning

Heterogeneous manycore architectures enabled by processing-in-memory for deep learning: From cnns to gnns:(iccad special session paper)

DARe: DropLayer-aware manycore ReRAM architecture for training graph neural networks

Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures

3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration

Aqeeb Iqbal Arka Information

University

Position

Research Assistant

Citations(all)

117

Citations(since 2020)

112

Cited By

143

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Aqeeb Iqbal Arka Skills & Research Interests

NoC Design

Heteregeneous System Design

Machine Learning

Processing In Memory

Top articles of Aqeeb Iqbal Arka

Fault-tolerant Deep Learning using Regularization

2022/10/30

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Accelerating large-scale graph neural network training on crossbar diet

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022/8/9

Hardware Accelerators for Machine Learning: From 3D Manycore to Processing-in-Memory Architectures

2022

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022/12/8

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

Heterogeneous manycore architectures enabled by processing-in-memory for deep learning: From cnns to gnns:(iccad special session paper)

2021/11/1

DARe: DropLayer-aware manycore ReRAM architecture for training graph neural networks

2021/11/1

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

2021/9/15

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration

2021/2/1

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks

2021/2/1

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

Biresh Kumar Joardar
Biresh Kumar Joardar

H-Index: 6

Making a Case for Partially Connected 3D NoC: NFIC versus TSV

ACM Journal on Emerging Technologies in Computing Systems (JETC)

2020/8/26

Aqeeb Iqbal Arka
Aqeeb Iqbal Arka

H-Index: 3

HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration

ACM Transactions on Design Automation of Electronic Systems (TODAES)

2021/1/18

See List of Professors in Aqeeb Iqbal Arka University(Washington State University)

Co-Authors

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