A3D3 Kick-off meeting
The National Science Foundation (NSF), under the Harnessing the Data Revolution (HDR) program, is providing funding to establish the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute, a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery.
The A3D3 Institute was funded on 1 October 2021, and is ramping up its activities. This kickoff workshop brings together members and collaborators of the A3D3 to develop the activities which will be pursued in the five years of the Institute. The goal, motivation, deliverables, milestones, and timeline will be identified for each activity. We should leave the workshop with a comprehensive Project Execution Plan. This plan will be used to develop the Management Plan requested by the NSF due mid of December.
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Lightning talks
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Targeted & Heterogenous SystemsSpeakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
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EngagementSpeakers: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
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EducationSpeakers: Matthew Graham (California Institute of Technology), Matthew Graham
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Equity and CareerSpeakers: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))
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HEPConvener: Miaoyuan Liu (Purdue University (US))
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Graph neural networks in HEP
10 mins talk + 5 mins discussion
Speaker: Yongbin Feng (Fermi National Accelerator Lab. (US)) -
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Anomaly detection in HEP
10 mins talk + 5 mins discussion
Speaker: Sang Eon Park (Massachusetts Inst. of Technology (US)) -
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SPVCNN applications in HEP
10 mins talk + 5 mins discussion
Speaker: Alexander Joseph Schuy (University of Washington (US))
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MMAConvener: Michael Coughlin (University of Minnesota)
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NeuroscienceConvener: Amy Orsborn
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intro to neuro data
overview of signal types, properties
Speaker: Prof. Maria Dadarlat (Purdue) -
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auto-encoders for neural signal predictionSpeaker: MICHAEL NOLAN
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approaches to analyze behaviorSpeaker: JINGYUAN LI
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discussion time
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HACConvener: Pan Li
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Intro
HAC (Hardware and Algorithm co-development) is one main research direction of A3D3, where the goal is to study the state-of-the-art AI hardware and algorithms for scientific applications. In this session, we have four talks that include AI algorithm/hardware design for physical applications, and efficient compilation tools for AI hardware automatic design.
Speaker: Pan Li (Purdue) - 19
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Targeted and heterogeneous systemsConveners: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
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Intro
Targeted systems: hardware-based, edge devices, on-sensor, including FPGA, ASIC, or other technology used for monitoring, instrument control, data selection, or data processing often in real-time or with very low latency.
Heterogenous systems: CPUs + coprocessors, high-throughput data processing, may include HPCs, cloud resources, asynchronous communication, as-a-service.
This section will give a brief overview of the different systems we target in HEP, neuroscience, and MMA with a look toward how we can develop common tools and techniques. Each talk will address:
- What the targeted/heterogeneous systems look like (hardware specifications, constraints, etc.)
- How we currently "program" these targeted systems (including the use of AI algorithms and tool flows like hls4ml)
- Thoughts for improving workflows, infrastructure, which can be developed in common
Speakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US)) -
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HEP: Level-1 trigger (FPGA) + On-detector readout (ASIC)Speaker: Daniel Diaz (Univ. of California San Diego (US))
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HEP: Services for Optimized Network Inference on Coprocessors (SONIC)Speaker: Jeffrey Krupa (Massachusetts Institute of Technology)
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MMA: Gravitational Wave Inference as a ServiceSpeakers: Alec Gunny, Alec Gunny (Massachusetts Institute of Technology)
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Neuroscience: Sleep Spindles as a Driver of Low Latency, Low Power MLSpeaker: Xiaohan Liu
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Diversity, Equity, Inclusion, & CareerConveners: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))
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Post-bacc Rubric DiscussionSpeaker: Javier Mauricio Duarte (Univ. of California San Diego (US))
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Post-bacc Ad
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Code of Conduct
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Postdoc Mentoring
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EngagementConveners: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
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Engagement with other Communities/Projects and CEL DiscussionSpeaker: Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
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Resources: HAL at NCSA's Innovative Systems LaboratorySpeaker: Volodymyr Kindratenko (University of Illinois at Urbana-Champaign)
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Resources: XACC Cluster at Illinois Coordinated Sciences LaboratorySpeaker: Deming Chen (University of Illinois at Urbana-Champaign)
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Resources: CloudSpeaker: Philip Coleman Harris (Massachusetts Inst. of Technology (US))
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SummaryConvener: Philip Coleman Harris (Massachusetts Inst. of Technology (US))
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HEPSpeaker: Miaoyuan Liu (Purdue University (US))
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Targeted & Heterogeneous systemsSpeakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
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Diversity, Equality and InclusiveSpeakers: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))
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EducationSpeakers: Matthew Graham (California Institute of Technology), Matthew Graham
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EngagementSpeakers: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
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