High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design. - Anupreetham, Anupreetham; Ibrahim, Mohamed; Hall, Mathew; Boutros, Andrew; Kuzhively, Ajay; Mohanty, Abinash; Nurvitadhi, Eriko; Betz, Vaughn; Cao, Yu; Seo, Jae-Sun (ACM Trans. Reconfigurable Technol. Syst., 2024)

H2PIPE: High Throughput CNN Inference on FPGAs with High-Bandwidth Memory. - Doumet, Mario; Stan, Marius; Hall, Mathew; Betz, Vaughn (2024)

H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory. - Doumet, Mario; Stan, Marius; Hall, Mathew; Betz, Vaughn (CoRR, 2024)

Extending Data Flow Architectures for Convolutional Neural Networks to Multiple FPGAs. - Ibrahim, Mohamed; Zhao, Zhipeng; Hall, Mathew; Betz, Vaughn (2023)

With Shared Microexponents, A Little Shifting Goes a Long Way. - Rouhani, Bita Darvish; Zhao, Ritchie; Elango, Venmugil; Shafipour, Rasoul; Hall, Mathew; Mesmakhosroshahi, Maral; More, Ankit; Melnick, Levi; Golub, Maximilian; Varatkar, Girish; Shao, Lai; Kolhe, Gaurav; et al. (2023)

Shared Microexponents: A Little Shifting Goes a Long Way. - Rouhani, Bita; Zhao, Ritchie; Elango, Venmugil; Shafipour, Rasoul; Hall, Mathew; Mesmakhosroshahi, Maral; More, Ankit; Melnick, Levi; Golub, Maximilian; Varatkar, Girish; Shao, Lei; Kolhe, Gaurav; et al. (CoRR, 2023)

Microscaling Data Formats for Deep Learning. - Rouhani, Bita Darvish; Zhao, Ritchie; More, Ankit; Hall, Mathew; Khodamoradi, Alireza; Deng, Summer; Choudhary, Dhruv; Cornea, Marius; Dellinger, Eric; Denolf, Kristof; Stosic, Dusan; Elango, Venmugil; et al. (CoRR, 2023)

HPIPE NX: Boosting CNN Inference Acceleration Performance with AI-Optimized FPGAs. - Stan, Marius; Hall, Mathew; Ibrahim, Mohamed; Betz, Vaughn (2022)

End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression. - Anupreetham, Anupreetham; Ibrahim, Mohamed; Hall, Mathew; Boutros, Andrew; Kuzhively, Ajay; Mohanty, Abinash; Nurvitadhi, Eriko; Betz, Vaughn; Cao, Yu; Seo, Jae-sun (2021)

HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs. - Hall, Mathew; Betz, Vaughn (2020)

From TensorFlow Graphs to LUTs and Wires: Automated Sparse and Physically Aware CNN Hardware Generation. - Hall, Mathew; Betz, Vaughn (2020)

Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. - Boutros, Andrew; Hall, Mathew; Papernot, Nicolas; Betz, Vaughn (2020)

HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs. - Hall, Mathew; Betz, Vaughn (CoRR, 2020)

Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. - Boutros, Andrew; Hall, Mathew; Papernot, Nicolas; Betz, Vaughn (CoRR, 2020)

Effectively Incorporating Expert Knowledge in Automated Software Remodularisation. - Hall, Mathew; Walkinshaw, Neil; McMinn, Phil (IEEE Trans. Software Eng., 2018)

Inferring Computational State Machine Models from Program Executions. - Walkinshaw, Neil; Hall, Mathew (2016)

Data and Analysis Code for GP EFSM Inference. - Hall, Mathew; Walkinshaw, Neil (2016)

Automating the Design of Processor/Accelerator Embedded Systems with LegUp High-Level Synthesis. - Fort, Blair; Canis, Andrew; Choi, Jongsok; Calagar, Nazanin; Lian, Ruolong; Hadjis, Stefan; Chen, Yu Ting; Hall, Mathew; Syrowik, Bain; Czajkowski, Tomasz S.; Brown, Stephen; Anderson, Jason Helge (2014)

Establishing the Source Code Disruption Caused by Automated Remodularisation Tools. - Hall, Mathew; Khojaye, Muhammad Ali; Walkinshaw, Neil; McMinn, Phil (2014)

Improving software remodularisation. - Hall, Mathew (2013)

Supervised software modularisation. - Hall, Mathew; Walkinshaw, Neil; McMinn, Phil (2012)

Using Behaviour Inference to Optimise Regression Test Sets. - Taylor, Ramsay; Hall, Mathew; Bogdanov, Kirill; Derrick, John (2012)

Search based hierarchy generation for reverse engineered state machines. - Hall, Mathew (2011)

Complexity Metrics for Hierarchical State Machines. - Hall, Mathew (2011)

Superstate identification for state machines using search-based clustering. - Hall, Mathew; McMinn, Phil; Walkinshaw, Neil (2010)