Andrew Boutros

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Scalable Distributed

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Anupreetham Anupreetham, Mohamed Ibrahim, Mathew Hall, Andrew Boutros, Ajay Kuzhively, Abinash Mohanty, Eriko Nurvitadhi, Vaughn Betz, Yu Cao, Jae-Sun Seo
High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design. ACM Trans. Reconfigurable Technol. Syst. 17 (1) (2024)
Andrew Boutros, Aman Arora, Vaughn Betz
Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions. CoRR (2024)
Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John
Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz
Placement Optimization for NoC-Enhanced FPGAs. FCCM (2023)
Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz
RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices. CoRR (2023)
Andrew Boutros, Stephen More, Vaughn Betz
A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices? FPL (2023)
Suyeon Hur, Seongmin Na, Dongup Kwon, Joonsung Kim, Andrew Boutros, Eriko Nurvitadhi, Jangwoo Kim
A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks. ACM Trans. Archit. Code Optim. 20 (1) (2023)
Andrew Boutros, Fatemehsadat Mahmoudi, Amin Mohaghegh, Stephen More, Vaughn Betz
Into the Third Dimension: Architecture Exploration Tools for 3D Reconfigurable Acceleration Devices. ICFPT (2023)
Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk
Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 30 (2) (2022)
Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz
Architecture and Application Co-Design for Beyond-FPGA Reconfigurable Acceleration Devices. IEEE Access 10 (2022)
Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz
RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices. FPL (2022)
Rui Ma, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. IEEE Comput. Archit. Lett. 21 (2) (2022)
Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems. CoRR (2022)
Xiaowei Wang, Vidushi Goyal, Jiecao Yu, Valeria Bertacco, Andrew Boutros, Eriko Nurvitadhi, Charles Augustine, Ravi R. Iyer, Reetuparna Das
Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs. FCCM (2021)
Anupreetham Anupreetham, Mohamed Ibrahim, Mathew Hall, Andrew Boutros, Ajay Kuzhively, Abinash Mohanty, Eriko Nurvitadhi, Vaughn Betz, Yu Cao, Jae-sun Seo
End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression. FPL (2021)
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
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL (2021)
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
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR (2021)
Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz
Specializing for Efficiency: Customizing AI Inference Processors on FPGAs. ICM (2021)
Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. FPT (2020)
Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. CoRR (2020)
Mohamed Eldafrawy, Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz
FPGA Logic Block Architectures for Efficient Deep Learning Inference. ACM Trans. Reconfigurable Technol. Syst. 13 (3) (2020)
Andrew Boutros, Eriko Nurvitadhi, Rui Ma, Sergey Gribok, Zhipeng Zhao, James C. Hoe, Vaughn Betz, Martin Langhammer
Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs. FPT (2020)
Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil V. Knag, Raghavan Kumar, Ram Krishnamurthy, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Debbie Marr, Aravind Dasu
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. FCCM (2019)
Andrew Boutros, Mohamed Eldafrawy, Sadegh Yazdanshenas, Vaughn Betz
Math Doesn't Have to be Hard: Logic Block Architectures to Enhance Low-Precision Multiply-Accumulate on FPGAs. FPGA (2019)
Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil V. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Aravind Dasu
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. FPGA (2019)
Eriko Nurvitadhi, Mishali Naik, Andrew Boutros, Prerna Budhkar, Ali Jafari, Dongup Kwon, David Sheffield, Abirami Prabhakaran, Karthik Gururaj, Pranavi Appana
Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs. FPT (2019)
Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz
Embracing Diversity: Enhanced DSP Blocks for Low-Precision Deep Learning on FPGAs. FPL (2018)
Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz
You Cannot Improve What You Do not Measure: FPGA vs. ASIC Efficiency Gaps for Convolutional Neural Network Inference. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Jens Rettkowski, Andrew Boutros, Diana Göhringer
HW/SW Co-Design of the HOG algorithm on a Xilinx Zynq SoC. J. Parallel Distributed Comput. 109 (2017)
Andrew Boutros, Salma Hesham, Barbara Georgey, Mohamed A. Abd El Ghany
Hardware acceleration of novel chaos-based image encryption for IoT applications. ICM (2017)
Andrew Boutros, Brett Grady, Mustafa Abbas, Paul Chow
Build fast, trade fast: FPGA-based high-frequency trading using high-level synthesis. ReConFig (2017)
Jens Rettkowski, Andrew Boutros, Diana Göhringer
Real-time pedestrian detection on a xilinx zynq using the HOG algorithm. ReConFig (2015)