Scott Hauck
Professor
Researches FPGA architectures and CAD tools, including high-speed deep learning on FPGAs for physics experiments.
Scott Hauck's lab at UW works on accelerators, chips & architecture. 12 papers since 2023. 5 master's students. 70 alumni, most often to Microsoft and Intel. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 0%
- PhD students
- 0
- MS students
- 5
- alumni listed
- 70
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 2 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- fpgas5 papers
- Accelerators, chips & architecture4 papers
- fpga4 papers
- experiments2 papers
- high-speed0 papers
Paper list
From the lab homepage.
20263 papers
- IEEE High Performance Extreme Computing Virtual Conference"HLS4LFADS: A Framework for Real-Time and Parallel Neural Decoding on FPGAs" (opens in a new tab)
- TRETS"hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware" (opens in a new tab)
- IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room Temperature Semiconductor Detectors"The Personalized Remote Radiation Tracking Portable Organ Dosimetry Device" (opens in a new tab)
20252 papers
- Journal of Instrumentation"Low Latency Transformer Inference on FPGAs for Physics Applications with hls4ml" (opens in a new tab)
- Fast Machine Learning for Science ConferenceFPGA-accelerated ML for real-time RHEED inference
20242 papers
- Taiwan VLSI Design/CAD Symposium"Efficient Implementation of Transformer Inference via a Tiled-Based Architecture on an FPGA" (opens in a new tab)
- Journal of Instrumentation"Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade" (opens in a new tab)
20235 papers
- Fast ML for Science Workshop, ICCAD"FPGA Deployment of LFADS for Real-time Neuroscience Experiments" (opens in a new tab)
- FPL"Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs" (opens in a new tab)
- Fast ML for Science Workshop, ICCAD"Quantifying the Efficiency of High-Level Synthesis for Machine Learning Inference" (opens in a new tab)
- Machine Learning and the Physical Sciences, NeurIPS"Ultra Fast Transformers on FPGAs for Particle Physics Experiments" (opens in a new tab)
- Machine Learning: Science and Technology"Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml" (opens in a new tab)
Where alumni went70 listed, 90% to industry
Industry 27Academia 3
Most often to
- Microsoft
- Intel
- Amazon
Also to
- MIT
- Olin College
- University of Wisconsin
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
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- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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