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<!doctype html>
<html>
<head>
<title>Fast ML for Science @ ICCAD 2023</title>
<meta charset="utf-8" name="viewport" content="width=device-width, initial-scale=1">
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<body>
<!-------------------------------------------------------------------------------------------->
<!--Menu and Banner-->
<div class="menu-container"></div>
<div class="site-blocks-cover overlay inner-page-cover" style="background-image: url('image/sanfrancisco.jpg');"
data-stellar-background-ratio="0.5">
<div class="container">
<div class="row align-items-center justify-content-center">
<div class="col-md-10 text-center" data-aos="fade-up">
<h1>Workshop Program</h1>
</div>
</div>
</div>
</div>
<!-------------------------------------------------------------------------------------------->
<div class="content-container">
<div class="content">
<div class="content-table flex-column">
<div class="flex-row">
<div class="flex-item flex-column">
<h2 class="add-top-margin">Program</h2>
<hr>
Slides and camera-ready papers will be posted by the workshop.
The conference will take place in the Sculptor Room at the Hyatt Regency San Francisco Downtown
SOMA.<br><br>
Remote participation is available at: <a
href="https://fnal.zoom.us/j/98238073701?pwd=aUJncVR5T1Zsbm1VbDVRSGhGVmNwdz09">Zoom connection</a>
<br>
<div class="custom-table-container center add-top-margin-small">
<table class="custom-table">
<thead>
<tr class="bg-color-gray">
<th>Time (PDT)</th>
<th class="text-center">Duration</span></th>
<th>Presentations</th>
<th class="text-center"></th>
<th class="text-center"></th>
</tr>
</thead>
<tbody>
<tr class="bg-color-light-gray">
<td>8:15</td>
<td class="text-center">15'</td>
<td>Welcome and introduction<br><span style="font-size:10pt;font-style:italic"> Javier Duarte,
UCSD </span>
</td>
<td class="text-center"></td>
<td class="text-center"><a href="file/Fast ML for Science @ ICCAD 2023.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>8:30</td>
<td class="text-center">30'</td>
<td>Community Vision, Needs, and Progress<br><span
style="font-size:10pt;font-style:italic">Vladimir
Loncar, MIT</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/fastml_icaad_hls4ml_vision.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>9:00</td>
<td class="text-center">30'</td>
<td>Design Tools Perspective: <a
href="https://eda.sw.siemens.com/en-US/ic/catapult-high-level-synthesis/">Catapult</a> + <a
href="https://fastmachinelearning.org/hls4ml">hls4ml</a> for Inference at the Edge <br><span
style="font-size:10pt;font-style:italic">David Burnette,
Siemens</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/FastML23_ICCAD_Final.pdf">[Slides]</a></td>
</tr>
<tr class="bg-color-light-gray">
<td>9:30</td>
<td class="text-center">30'</td>
<td>Designing Hardware for Machine Learning <br><span
style="font-size:10pt;font-style:italic">John Wawrzynek, UC Berkeley</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/Wawrzynek-Fast-ML.pdf">[Slides]</a></td>
</tr>
<tr class="bg-color-light-yellow">
<td>10:00</td>
<td class="text-center">30'</td>
<td>Coffee <br><span style="font-size:10pt;font-style:italic"></span></td>
<td class="text-center"></td>
<td class="text-center"></td>
</tr>
<tr class="bg-color-light-gray">
<td>10:30</td>
<td class="text-center">30'</td>
<td>Design Tools Perspective: Mapping ML to the <a
href="https://www.amd.com/en/products/ryzen-ai">AMD RyzenAI Architecture</a><br><span
style="font-size:10pt;font-style:italic">Elliott
Delaye,
AMD</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/FASTML_AMD_ICCAD_2023.pdf">[Slides]</a></td>
</tr>
<tr class="bg-color-light-gray">
<td>11:00</td>
<td class="text-center">30'</td>
<td>Fast ML in the <a href="https://a3d3.ai">NSF HDR Institute: A3D3</a><br><span
style="font-size:10pt;font-style:italic">Shih-Chieh
Hsu, UW</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/A3D3 Real-Time AI ICCAD.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>11:30</td>
<td class="text-center">30'</td>
<td>Real-time ML at the Linac Coherent Light Source<br><span
style="font-size:10pt;font-style:italic">Jana Thayer,
SLAC</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/2023 Thayer ICCAD.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-yellow">
<td>12:00</td>
<td class="text-center">60'</td>
<td>Lunch<br><span style="font-size:10pt;font-style:italic"></span></td>
<td class="text-center"></td>
<td class="text-center"></td>
</tr>
<tr class="bg-color-light-gray">
<td>1:20</td>
<td class="text-center">30'</td>
<td>Robust and Efficient Machine Learning for Mission-Critical Applications<br><span
style="font-size:10pt;font-style:italic">Bhavya Kailkhura,
LLNL</span></td>
<td class="text-center"></td>
<td class="text-center"><a href="file/FastML-Kailkhura.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>1:50</td>
<td class="text-center">20'</td>
<td>Quantifying the Efficiency of High-Level Synthesis for Machine Learning Inference<br><span
style="font-size:10pt;font-style:italic"><u>Caroline Johnson (UW)</u>,
Scott Hauck, Shih-Chieh Hsu, Waiz Khan, Stephany Ayala-Cerna, Geoff Jones, Anatoliy Martynyuk,
Matthew Bavier, Oleh Kondratyuk, Trinh Nguyen, Jan Silva, Aidan Short (UW) </span></td>
<td class="text-center"><a href="file/fastml-iccad-23-final10.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/Quantifying_HLS.pdf">[Slides]</a></td>
</tr>
<tr class="bg-color-light-gray">
<td>2:10</td>
<td class="text-center">20'</td>
<td>TT-QEC: Transferable Transformer for Quantum Error Correction Code Decoding<br><span
style="font-size:10pt;font-style:italic"><u>Hanrui Wang (MIT)</u>,
Kevin Shao (MIT), Dantong Li (Yale University), Jiaqi Gu (ASU), David Pan (University of
Texas), Yongshan Ding (Yale University), Song Han (MIT)</span></td>
<td class="text-center"><a href="file/fastml-iccad-23-final9.pdf">[Paper]</a>
</td>
<td class="text-center"><a href="file/TTQEC-fastml.pdf">[Slides]</a></td>
</tr>
<tr class="bg-color-light-gray">
<td>2:30</td>
<td class="text-center">20'</td>
<td>Benchmarking the Robustness of Neural Network-based Partial Differential Equation
Solver<br><span style="font-size:10pt;font-style:italic"><u>Jiaqi Gu (ASU)</u>,
Mohit Dighamber, Zhengqi Gao, Duane S. Boning (MIT)</span></td>
<td class="text-center"><a href="file/fastml-iccad-23-final5.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/ICCAD2023_RobustFNO_v1.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>2:50</td>
<td class="text-center">20'</td>
<td>Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning<br><span
style="font-size:10pt;font-style:italic"><u>Giuseppe Di Guglielmo (FNAL)</u>,
Jieun Yoo (UIC), Jennet Dickinson (FNAL), Morris Swartz (JHU), Alice Bean (KU), Doug Berry
(FNAL), Manuel Blanco Valentin (NU), Karri DiPetrillo (UChicago), Farah Fahim, Lindsey Gray,
James Hirschauer (FNAL), Shruti Kulkarni (ORNL), Ron Lipton (FNAL), Petar Maksimovic (JHU),
Corinne Mills (UIC), Mark Neubauer (UIUC), Benjamin Parpillon, Gauri Pradhan, Chinar Syal,
Nhan Tran (FNAL), Dahai Wen (JHU), Aaron Young (ORNL) </span></td>
<td class="text-center"><a href="file/fastml-iccad-23-final11.pdf">[Paper]</a>
</td>
<td class="text-center"><a href="file/fastml4science_iccad_20231102.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-yellow">
<td>3:10</td>
<td class="text-center">30'</td>
<td>Coffee<br><span style="font-size:10pt;font-style:italic"></span></td>
<td class="text-center"></td>
<td class="text-center"></td>
</tr>
<tr class="bg-color-light-gray">
<td>3:40</td>
<td class="text-center">20'</td>
<td>FKeras: A Sensitivity Analysis Tool for Edge Neural Networks<br><span
style="font-size:10pt;font-style:italic">
<u>Andres Meza (UCSD)</u>,
Olivia Weng (UCSD),
Quinlan Bock (FNAL),
Benjamin Hawks (FNAL),
Javier Campos (FNAL),
Nhan Tran (FNAL),
Javier Mauricio Duarte (UCSD),
Ryan Kastner (UCSD)
</span></td>
<td class="text-center"><a href="file/fastml-iccad-23-final13.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/FKeras FastML @ ICCAD 2023 (Meza).pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>4:00</td>
<td class="text-center">20'</td>
<td>FPGA Deployment of LFADS for Real-time Neuroscience Experiments <br><span
style="font-size:10pt;font-style:italic">
<u>Elham E Khoda (UW)</u>,
Xiaohan Liu (UW),
ChiJui Chen,
YanLun Huang,
LingChi Yang (National Yang Ming Chiao Tung University),
Scott Hauck,
Shih-Chieh Hsu (UW),
Bo-Cheng Lai (National Yang Ming Chiao Tung University)
<td class="text-center"><a href="file/fastml-iccad-23-final12.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/LFADS_hls4ml_FastML-ICCAD2023.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>4:20</td>
<td class="text-center">20'</td>
<td>Toward Reinforcement Learning-based Rectilinear Macro Placement Under Human
Constraints<br><span style="font-size:10pt;font-style:italic">
<u>Jungwoo Lee (AgileSoDA Company)</u>,
Tuyen P. Le,
Hieu T. Nguyen,
Seungyeol Baek,
Taeyoun Kim (AgileSoDA Company),
Seongjung Kim,
Hyunjin Kim,
Misu Jung,
Daehoon Kim,
Seokyong Lee (Asicland Company),
Daewoo Choi (Hankuk University of Foreign Studies)
<td class="text-center"><a href="file/fastml-iccad-23-final7.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/[AgileSoDA] FastML_ICCAD_v1.1.pdf">[Slides]</a>
</td>
</tr>
<tr class="bg-color-light-gray">
<td>4:40</td>
<td class="text-center">20'</td>
<td>ResilienQ: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational
Training<br><span style="font-size:10pt;font-style:italic">
<u>Hanrui Wang (MIT)</u>,
Yilian Liu (Cornell University),
Pengyu Liu (CMU),
Song Han (MIT)
<td class="text-center"><a href="file/fastml-iccad-23-final3.pdf">[Paper]</a></td>
<td class="text-center"><a href="file/resilienQ-fastml.pdf">[Slides]</a></td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
<div class="flex-row">
<div class="flex-item flex-column">
<p>© Fast Machine Learning for Science @ ICCAD, 2023</p>
</div>
</div>
</div>
</div>
</div>
</body>
</html>