Andrew Boutros

Andrew Boutros

University of Toronto

H-index: 14

North America-Canada

About Andrew Boutros

Andrew Boutros, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of FPGAs, Machine Learning, Reconfigurable Computing.

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

Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions

High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design

Placement optimization for NoC-enhanced FPGAs

Koios 2.0: Open-source deep learning benchmarks for FPGA architecture and cad research

A fast and flexible FPGA-based accelerator for natural language processing neural networks

Field-Programmable Gate Array Architecture

Into the Third Dimension: Architecture Exploration Tools for 3D Reconfigurable Acceleration Devices

A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices?

Andrew Boutros Information

University

Position

PhD Student

Citations(all)

687

Citations(since 2020)

658

Cited By

149

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Andrew Boutros Skills & Research Interests

FPGAs

Machine Learning

Reconfigurable Computing

Top articles of Andrew Boutros

Title

Journal

Author(s)

Publication Date

Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions

arXiv preprint arXiv:2404.10076

Andrew Boutros

Aman Arora

Vaughn Betz

2024/4/15

High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design

ACM Transactions on Reconfigurable Technology and Systems

Anupreetham Anupreetham

Mohamed Ibrahim

Mathew Hall

Andrew Boutros

Ajay Kuzhively

...

2024/1/15

Placement optimization for NoC-enhanced FPGAs

Srivatsan Srinivasan

Andrew Boutros

Fatemehsadat Mahmoudi

Vaughn Betz

2023/5/8

Koios 2.0: Open-source deep learning benchmarks for FPGA architecture and cad research

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

Aman Arora

Andrew Boutros

Seyed Alireza Damghani

Karan Mathur

Vedant Mohanty

...

2023/5/3

A fast and flexible FPGA-based accelerator for natural language processing neural networks

ACM Transactions on Architecture and Code Optimization

Suyeon Hur

Seongmin Na

Dongup Kwon

Joonsung Kim

Andrew Boutros

...

2023/2/10

Field-Programmable Gate Array Architecture

Andrew Boutros

Vaughn Betz

2023/1/7

Into the Third Dimension: Architecture Exploration Tools for 3D Reconfigurable Acceleration Devices

Andrew Boutros

Fatemehsadat Mahmoudi

Amin Mohaghegh

Stephen More

Vaughn Betz

2023/12/12

A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices?

Andrew Boutros

Stephen More

Vaughn Betz

2023/9/4

RAD-Sim: Rapid architecture exploration for novel reconfigurable acceleration devices

Andrew Boutros

Eriko Nurvitadhi

Vaughn Betz

2022/8/29

FPGA-based AI smart NICs for scalable distributed AI training systems

IEEE Computer Architecture Letters

Rui Ma

Evangelos Georganas

Alexander Heinecke

Sergey Gribok

Andrew Boutros

...

2022/7/7

Systems And Methods For Processor Circuits

2022/4/21

Apparatus, Articles of Manufacture, and Methods for Composable Machine Learning Compute Nodes

2022/4/14

Architecture and application co-design for beyond-FPGA reconfigurable acceleration devices

IEEE Access

Andrew Boutros

Eriko Nurvitadhi

Vaughn Betz

2022/9/5

End-to-end FPGA-based object detection using pipelined CNN and non-maximum suppression

Anupreetham Anupreetham

Mohamed Ibrahim

Mathew Hall

Andrew Boutros

Ajay Kuzhively

...

2021/8/30

Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research

Aman Arora

Andrew Boutros

Daniel Rauch

Aishwarya Rajen

Aatman Borda

...

2021/8/30

FPGA Architecture: Principles and Progression

IEEE Circuits and Systems Magazine (CAS-M)

Andrew Boutros

Vaughn Betz

2021/5/25

Compute-capable block RAMs for efficient deep learning acceleration on FPGAs

Xiaowei Wang

Vidushi Goyal

Jiecao Yu

Valeria Bertacco

Andrew Boutros

...

2021/5/9

Recurrent neural networks with column-wise matrix–vector multiplication on FPGAs

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Zhiqiang Que

Hiroki Nakahara

Eriko Nurvitadhi

Andrew Boutros

Hongxiang Fan

...

2021/12/29

Specializing for efficiency: Customizing AI inference processors on FPGAs

Andrew Boutros

Eriko Nurvitadhi

Vaughn Betz

2021/12/19

Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs

Andrew Boutros

Mathew Hall

Nicolas Papernot

Vaughn Betz

2020/12

See List of Professors in Andrew Boutros University(University of Toronto)

Co-Authors

H-index: 46
James C. Hoe

James C. Hoe

Carnegie Mellon University

H-index: 45
Vaughn Betz

Vaughn Betz

University of Toronto

H-index: 23
Diana Goehringer

Diana Goehringer

Technische Universität Dresden

H-index: 19
Jaewoong Sim

Jaewoong Sim

Seoul National University

H-index: 18
Kenneth B Kent

Kenneth B Kent

University of New Brunswick

H-index: 11
Dongup Kwon

Dongup Kwon

Seoul National University

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