Scott Hauck
University of Washington
H-index: 51
North America-United States
Top articles of Scott Hauck
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Ultra Fast Transformers on FPGAs for Particle Physics Experiments | arXiv preprint arXiv:2402.01047 | Zhixing Jiang Dennis Yin Elham E Khoda Vladimir Loncar Ekaterina Govorkova | 2024/2/1 |
Quantifying the Performance and Resource Usage of HLS4ML’s Implementation of the Batch Normalization Layer on FPGAs | Waiz Khan Scott Hauck Shih-Chieh Hsu | 2024 | |
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml | Machine Learning: Science and Technology | Elham E Khoda Dylan Rankin Rafael Teixeira de Lima Philip Harris Scott Hauck | 2023/4/10 |
FPGA Deployment of LFADS for Real-time Neuroscience Experiments | Xiaohan Liu | 2023 | |
Evaluating the Quality of HLS4ML’s Basic Neural Network Implementations on FPGAs | Caroline Johnson | 2023 | |
Corrigendum: Applications and techniques for fast machine learning in science | Allison McCarn Deiana Nhan Tran Joshua Agar Michaela Blott Giuseppe Di Guglielmo | 2023/10/16 | |
Accelerating CNNs on FPGAs for Particle Energy Reconstruction | CHIJUI CHEN YANLUN HUANG LINGCHI YANG ZIANG YIN PHILIP HARRIS | 2023 | |
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs | Shi-Yu Huang Yun-Chen Yang Yu-Ru Su Bo-Cheng Lai Javier Duarte | 2023/9/4 | |
A Research-Fertile Co-Emulation Framework for RISC-V Processor Verification | Anoop Mysore Nataraja | 2023 | |
Applications and techniques for fast machine learning in science | Allison McCarn Deiana Nhan Tran Joshua Agar Michaela Blott Giuseppe Di Guglielmo | 2022/4/12 | |
arXiv: Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning | Phiala Shanahan Oz Amram Jernej F Kamenik Andrej Matevc Abhijith Gandrakota | 2022/9/15 | |
Physics community needs, tools, and resources for machine learning | arXiv preprint arXiv:2203.16255 | Philip Harris Erik Katsavounidis William Patrick McCormack Dylan Rankin Yongbin Feng | 2022/3/30 |
submitter: Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark | Hendrik Borras Ryan Kastner Tai Nguyen Michaela Blott Nhan Tran | 2022/6/23 | |
Graph neural networks for charged particle tracking on FPGAs | Frontiers in big Data | Abdelrahman Elabd Vesal Razavimaleki Shi-Yu Huang Javier Duarte Markus Atkinson | 2022/3/23 |
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark | arXiv preprint arXiv:2206.11791 | Hendrik Borras Giuseppe Di Guglielmo Javier Duarte Nicolò Ghielmetti Ben Hawks | 2022/6/23 |
A Complete Open Source Network Stack For BlackParrot | Yuan-Mao Chueh | 2022 | |
Qonnx: Representing arbitrary-precision quantized neural networks | arXiv preprint arXiv:2206.07527 | Alessandro Pappalardo Yaman Umuroglu Michaela Blott Jovan Mitrevski Ben Hawks | 2022/6/15 |
Generalized Machine Learning Quantization Implementation for High Level Synthesis Targeting FPGAs | Matthew Trahms | 2022 | |
arXiv: QONNX: Representing Arbitrary-Precision Quantized Neural Networks | Alessandro Pappalardo Jovan Mitrevski Vladimir Loncar Nhan Tran Yaman Umuroglu | 2022/6/15 | |
GPU coprocessors as a service for deep learning inference in high energy physics | Machine Learning: Science and Technology | Jeffrey Krupa Kelvin Lin Maria Acosta Flechas Jack Dinsmore Javier Duarte | 2021/4/23 |
