Andrew Boutros

发表

Recurrent Neural Networks With Column-Wise MatrixVector Multiplication on FPGAs

W. Luk, K. H. Tsoi, E. Nurvitadhi, 2022 .

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

E. Nurvitadhi, E. Georganas, A. Heinecke, 2022, IEEE Computer Architecture Letters.

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

W. Luk, K. H. Tsoi, E. Nurvitadhi, 2022, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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

E. Nurvitadhi, Jangwoo Kim, Andrew Boutros, 2022 .

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

E. Nurvitadhi, V. Betz, Andrew Boutros, 2022, IEEE Access.

FPGA Logic Block Architectures for Efficient Deep Learning Inference

Vaughn Betz, Sadegh Yazdanshenas, Mohamed Eldafrawy, 2020, ACM Trans. Reconfigurable Technol. Syst..

You Cannot Improve What You Do not Measure

Vaughn Betz, Sadegh Yazdanshenas, Andrew Boutros, 2018, ACM Trans. Reconfigurable Technol. Syst..

Enhancing FPGA Architecture for Efficient Deep Learning Inference

Andrew Maher Mansour Boutros, Andrew Boutros, 2018 .

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

Paul Chow, Mustafa Abbas, Andrew Boutros, 2017, 2017 International Conference on ReConFigurable Computing and FPGAs (ReConFig).

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

Vaughn Betz, Sadegh Yazdanshenas, Andrew Boutros, 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).

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

Diana Göhringer, Jens Rettkowski, Andrew Boutros, 2015, 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig).

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

J. Hoe, E. Nurvitadhi, V. Betz, 2020, 2020 International Conference on Field-Programmable Technology (ICFPT).

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

Gregory K. Chen, Ram Krishnamurthy, Aravind Dasu, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

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

Nicolas Papernot, V. Betz, Andrew Boutros, 2020, 2020 International Conference on Field-Programmable Technology (ICFPT).

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

Diana Göhringer, Jens Rettkowski, Andrew Boutros, 2017, J. Parallel Distributed Comput..

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

Eriko Nurvitadhi, Dongup Kwon, Abirami Prabhakaran, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

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

E. Nurvitadhi, Andrew Boutros, Jang-Hyun Kim, 2022, ACM Trans. Archit. Code Optim..

Specializing for Efficiency: Customizing AI Inference Processors on FPGAs

E. Nurvitadhi, V. Betz, Andrew Boutros, 2021, 2021 International Conference on Microelectronics (ICM).

FPGA Architecture: Principles and Progression

V. Betz, Andrew Boutros, Vaughn Betz, 2021, IEEE Circuits and Systems Magazine.

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

Reetuparna Das, Eriko Nurvitadhi, Valeria Bertacco, 2021, 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Placement Optimization for NoC-Enhanced FPGAs

V. Betz, Andrew Boutros, Srivatsan Srinivasan, 2023, 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

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

E. Nurvitadhi, V. Betz, Andrew Boutros, 2022, International Conference on Field-Programmable Logic and Applications.

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

Kenneth B. Kent, Vaughn Betz, Lizy K. John, 2021, 2021 31st International Conference on Field-Programmable Logic and Applications (FPL).

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

Mohamed A. Abd El Ghany, Andrew Boutros, Salma Hesham, 2017, 2017 29th International Conference on Microelectronics (ICM).

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

Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz, 2023, 2023 International Conference on Field Programmable Technology (ICFPT).