Andrew Boutros
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
3
Active years
2018–2026
Best venue rank
B
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | FCCM | Dj Vu Packing: Optimizing FPGA Logic Clustering Runtime via Pattern Memoization. | Milo Liebster, Amin Mohaghegh, Andrew Boutros |
| 2026 | FCCM | The Optimal, The Fast, and The Hybrid: Automatic Placement and Routing for AIE Arrays. | Hang Yan, James Yen, Rongbo Zhang, Andrew Boutros, Vaughn Betz |
| 2025 | FPL | Double Duty: FPGA Architecture to Enable Concurrent LUT and Adder Chain Usage. | Junius Pun, Xilai Dai, Grace Zgheib, Mahesh A. Iyer, Andrew Boutros, Vaughn Betz, Mohamed S. Abdelfattah |
| 2024 | FCCM | Stay Flexible: A High-Performance FPGA NPU Overlay for Graph Neural Networks. | Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz |
| 2024 | FPL | A Software-Programmable Neural Processing Unit for Graph Neural Network Inference on FPGAs. | Taikun Zhang, Andrew Boutros, Sergey Gribok, Kwadwo Boateng, Vaughn Betz |
| 2023 | FCCM | Placement Optimization for NoC-Enhanced FPGAs. | Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz |
| 2023 | FPL | A Whole New World: How to Architect Beyond-FPGA Reconfigurable Acceleration Devices? | Andrew Boutros, Stephen More, Vaughn Betz |
| 2022 | FPL | RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices. | Andrew Boutros, Eriko Nurvitadhi, Vaughn Betz |
| 2021 | FCCM | 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 |
| 2021 | FPL | 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 |
| 2021 | FPL | 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 |
| 2019 | FCCM | 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 |
| 2019 | FPGA | 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 |
| 2019 | FPGA | 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 |
| 2018 | FPL | Embracing Diversity: Enhanced DSP Blocks for Low-Precision Deep Learning on FPGAs. | Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz |