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Mathew Hall
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2020 – today
- 2024
- [j2]Anupreetham Anupreetham
, Mohamed Ibrahim
High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design. ACM Trans. Reconfigurable Technol. Syst. 17(1): 1:1-1:20 (2024) - [c17]Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz:
H2PIPE: High Throughput CNN Inference on FPGAs with High-Bandwidth Memory. FPL 2024: 69-77 - [i5]Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz:
H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory. CoRR abs/2408.09209 (2024) - 2023
- [c16]Mohamed Ibrahim, Zhipeng Zhao, Mathew Hall, Vaughn Betz:
Extending Data Flow Architectures for Convolutional Neural Networks to Multiple FPGAs. ICFPT 2023: 132-141 - [c15]Bita Darvish Rouhani
With Shared Microexponents, A Little Shifting Goes a Long Way. ISCA 2023: 83:1-83:13 - [i4]Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov:
Shared Microexponents: A Little Shifting Goes a Long Way. CoRR abs/2302.08007 (2023) - [i3]Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung:
Microscaling Data Formats for Deep Learning. CoRR abs/2310.10537 (2023) - 2022
- [c14]Marius Stan, Mathew Hall, Mohamed Ibrahim, Vaughn Betz:
HPIPE NX: Boosting CNN Inference Acceleration Performance with AI-Optimized FPGAs. FPT 2022: 1-9 - 2021
- [c13]Anupreetham Anupreetham
End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression. FPL 2021: 76-82 - 2020
- [c12]Mathew Hall, Vaughn Betz:
HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs. FPGA 2020: 320 - [c11]Mathew Hall, Vaughn Betz:
From TensorFlow Graphs to LUTs and Wires: Automated Sparse and Physically Aware CNN Hardware Generation. FPT 2020: 56-65 - [c10]Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz:
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. FPT 2020: 103-111 - [i2]Mathew Hall, Vaughn Betz:
HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs. CoRR abs/2007.10451 (2020) - [i1]Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz:
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. CoRR abs/2012.07242 (2020)
2010 – 2019
- 2018
- [j1]Mathew Hall
Effectively Incorporating Expert Knowledge in Automated Software Remodularisation. IEEE Trans. Software Eng. 44(7): 613-630 (2018) - 2016
- [c9]Neil Walkinshaw
Inferring Computational State Machine Models from Program Executions. ICSME 2016: 122-132 - [c8]Mathew Hall, Neil Walkinshaw
Data and Analysis Code for GP EFSM Inference. ICSME 2016: 611 - 2014
- [c7]Blair Fort, Andrew Canis, Jongsok Choi, Nazanin Calagar, Ruolong Lian, Stefan Hadjis, Yu Ting Chen, Mathew Hall, Bain Syrowik, Tomasz S. Czajkowski, Stephen Dean Brown, Jason Helge Anderson:
Automating the Design of Processor/Accelerator Embedded Systems with LegUp High-Level Synthesis. EUC 2014: 120-129 - [c6]Mathew Hall
Establishing the Source Code Disruption Caused by Automated Remodularisation Tools. ICSME 2014: 466-470 - 2013
- [b1]Mathew Hall:
Improving software remodularisation. University of Sheffield, UK, 2013 - 2012
- [c5]Mathew Hall
Supervised software modularisation. ICSM 2012: 472-481 - [c4]Ramsay Taylor
Using Behaviour Inference to Optimise Regression Test Sets. ICTSS 2012: 184-199 - 2011
- [c3]Mathew Hall
Search based hierarchy generation for reverse engineered state machines. SIGSOFT FSE 2011: 392-395 - [c2]Mathew Hall
Complexity Metrics for Hierarchical State Machines. SSBSE 2011: 76-81 - 2010
- [c1]Mathew Hall
Superstate identification for state machines using search-based clustering. GECCO 2010: 1381-1388
Coauthor Index
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last updated on 2024-10-22 20:16 CEST by the dblp team
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