Andrew Boutros

According to our database, Andrew Boutros authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Anupreetham Anupreetham, Mohamed Ibrahim, Mathew Hall, Andrew Boutros, Ajay Kuzhively, Abinash Mohanty, Eriko Nurvitadhi, Vaughn Betz, Yu Cao, Jae-Sun Seo

ACM Trans. Reconfigurable Technol. Syst., March, 2024

2023

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research.

Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks.

Suyeon Hur, Seongmin Na, Dongup Kwon, Joonsung Kim, Andrew Boutros, Eriko Nurvitadhi, Jangwoo Kim

ACM Trans. Archit. Code Optim., March, 2023

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

Andrew Boutros, Fatemehsadat Mahmoudi, Amin Mohaghegh, Stephen More, Vaughn Betz

Proceedings of the International Conference on Field Programmable Technology, 2023

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

Andrew Boutros, Stephen More, Vaughn Betz

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Placement Optimization for NoC-Enhanced FPGAs.

Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

2022

Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAs.

Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk

IEEE Trans. Very Large Scale Integr. Syst., 2022

FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems.

Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi

CoRR, 2022

FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems.

Rui Ma, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi

IEEE Comput. Archit. Lett., 2022

Architecture and Application Co-Design for Beyond-FPGA Reconfigurable Acceleration Devices.

Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz

IEEE Access, 2022

RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices.

Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

Specializing for Efficiency: Customizing AI Inference Processors on FPGAs.

Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz

Proceedings of the International Conference on Microelectronics, 2021

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

Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression.

Anupreetham Anupreetham, Mohamed Ibrahim, Mathew Hall, Andrew Boutros, Ajay Kuzhively, Abinash Mohanty, Eriko Nurvitadhi, Vaughn Betz, Yu Cao, Jae-sun Seo

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs.

Xiaowei Wang, Vidushi Goyal, Jiecao Yu, Valeria Bertacco, Andrew Boutros, Eriko Nurvitadhi, Charles Augustine, Ravi R. Iyer, Reetuparna Das

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

FPGA Logic Block Architectures for Efficient Deep Learning Inference.

Mohamed Eldafrawy, Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz

ACM Trans. Reconfigurable Technol. Syst., 2020

Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs.

Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James C. Hoe, Vaughn Betz, Martin Langhammer

Proceedings of the International Conference on Field-Programmable Technology, 2020

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

Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz

Proceedings of the International Conference on Field-Programmable Technology, 2020

2019

Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs.

Eriko Nurvitadhi, Mishali Naik, Andrew Boutros, Prerna Budhkar, Ali Jafari, Dongup Kwon, David Sheffield, Abirami Prabhakaran, Karthik Gururaj, Pranavi Appana

Proceedings of the International Conference on Field-Programmable Technology, 2019

Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI.

Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Aravind Dasu

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Math Doesn't Have to be Hard: Logic Block Architectures to Enhance Low-Precision Multiply-Accumulate on FPGAs.

Andrew Boutros, Mohamed Eldafrawy, Sadegh Yazdanshenas, Vaughn Betz

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs.

Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Debbie Marr, Aravind Dasu

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018

You Cannot Improve What You Do not Measure: FPGA vs. ASIC Efficiency Gaps for Convolutional Neural Network Inference.

Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz

ACM Trans. Reconfigurable Technol. Syst., 2018

Embracing Diversity: Enhanced DSP Blocks for Low-Precision Deep Learning on FPGAs.

Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

2017

HW/SW Co-Design of the HOG algorithm on a Xilinx Zynq SoC.

Jens Rettkowski, Andrew Boutros, Diana Göhringer

J. Parallel Distributed Comput., 2017

Build fast, trade fast: FPGA-based high-frequency trading using high-level synthesis.

Andrew Boutros, Brett Grady, Mustafa Abbas, Paul Chow

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Hardware acceleration of novel chaos-based image encryption for IoT applications.

Andrew Boutros, Salma Hesham, Barbara Georgey, Mohamed A. Abd El Ghany

Proceedings of the 29th International Conference on Microelectronics, 2017

2015

Real-time pedestrian detection on a xilinx zynq using the HOG algorithm.

Jens Rettkowski, Andrew Boutros, Diana Göhringer

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2015