A3D3 Kick-off meeting

8 Nov 2021, 11:00 → 10 Nov 2021, 13:10 US/Pacific

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. 

Monday, 8 November

11:00 → 11:07 Introduction

Speaker: Shih-Chieh Hsu (University of Washington Seattle (US))

gslide

11:10 → 11:17 Logo and Website

Speakers: Miaoyuan Liu (Purdue University (US)), Philip Coleman Harris (Massachusetts Inst. of Technology (US))

logo

website

11:25 → 12:10 Lightning talks

11:25 HEP

Speaker: Miaoyuan Liu (Purdue University (US))

a3d3_kickoff_hep.pdf

11:30 MMA

Speaker: Michael Coughlin (University of Minnesota)

MMA HDR Planning.pdf

11:35 Neuros

Speaker: Amy Orsborn

kickoffMeeting_neuroIntro_v211107.pdf

11:40 HAC

Speakers: Pan Li, Pan Li

Lightening-talk-HAC.pdf

11:45 Targeted & Heterogenous Systems

Speakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))

A3D3_TargetedSystems_7Nov2021.pdf

11:50 Engagement

Speakers: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)

A3D3_Engagement_kickoff.pdf

11:55 Education

Speakers: Matthew Graham (California Institute of Technology), Matthew Graham

12:00 Equity and Career

Speakers: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))

A3D3 Kickoff_ Equity & Career.pdf

12:20 → 13:25 HEP

Convener: Miaoyuan Liu (Purdue University (US))

12:20 Graph neural networks in HEP

10 mins talk + 5 mins discussion

Speaker: Yongbin Feng (Fermi National Accelerator Lab. (US))

GNN_Overview_A3D3.pdf

12:35 Anomaly detection in HEP

10 mins talk + 5 mins discussion

Speaker: Sang Eon Park (Massachusetts Inst. of Technology (US))

A3D3 Final 1.pdf

12:50 SPVCNN applications in HEP

10 mins talk + 5 mins discussion

Speaker: Alexander Joseph Schuy (University of Washington (US))

SPVCNN slides

12:20 → 13:10 MMA

Convener: Michael Coughlin (University of Minnesota)

12:20 → 13:10 Neuroscience

Convener: Amy Orsborn

12:20 intro to neuro data

overview of signal types, properties

Speaker: Prof. Maria Dadarlat (Purdue)

12:32 auto-encoders for neural signal prediction

Speaker: MICHAEL NOLAN

Electrocorticograph Signal Modeling with RNN Autoencoders.pptm

12:44 approaches to analyze behavior

Speaker: JINGYUAN LI

Approach to Analyze Behavior Sparse Semi-Supervised Action Recognition with Active Learning.pdf

12:56 discussion time

13:10 → 14:00 HAC

Convener: Pan Li

13:10 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)

13:12 Point cloud methods for science

Speaker: Zhijian Liu (MIT)

20211108 - A3D3.pdf

13:24 GNN-for-Science

Speaker: Siqi Miao (Purdue)

tau3mu-siqi[17973].pdf

13:36 ScaleHLS

Speaker: Hanchen Ye (UIUC)

A3D3_ScaleHLS_Slides_Hanchen[17518].pdf

13:48 HLS4ML

Speaker: Dylan Rankin (MIT)

a3d3_hac_dsr_01Nov21 (1).pdf

Tuesday, 9 November

11:00 → 12:40 Targeted and heterogeneous systems

Conveners: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))

11:00 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:

1. What the targeted/heterogeneous systems look like (hardware specifications, constraints, etc.)
2. How we currently "program" these targeted systems (including the use of AI algorithms and tool flows like hls4ml)
3. Thoughts for improving workflows, infrastructure, which can be developed in common

Speakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))

11:05 HEP: Level-1 trigger (FPGA) + On-detector readout (ASIC)

Speaker: Daniel Diaz (Univ. of California San Diego (US))

A3D3_HEP-L1Trigger.pdf

11:25 HEP: Services for Optimized Network Inference on Coprocessors (SONIC)

Speaker: Jeffrey Krupa (Massachusetts Institute of Technology)

a3d3_krupa.pdf

11:45 MMA: Gravitational Wave Inference as a Service

Speakers: Alec Gunny, Alec Gunny (Massachusetts Institute of Technology)

A3D3 Kickoff Presentation - LIGO.pdf

12:05 Neuroscience: Sleep Spindles as a Driver of Low Latency, Low Power ML

Speaker: Xiaohan Liu

Sleep Spindles as a Driver of Low Latency, Low Power ML in HLS4ML & TinyML.pdf

12:40 → 13:30 Diversity, Equity, Inclusion, & Career

Conveners: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))

12:40 Post-bacc Rubric Discussion

Speaker: Javier Mauricio Duarte (Univ. of California San Diego (US))

A3D3_HolisticReview.pdf

Proposed rubric

12:50 Post-bacc Ad

postbac ad draft

13:05 Code of Conduct

CodeOfConduct

13:20 Postdoc Mentoring

postdoc mentoring

13:30 → 14:20 Education

Conveners: Matthew Graham (California Institute of Technology), Matthew Graham

gdoc

14:20 → 15:15 Engagement

Conveners: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)

14:25 Engagement with other Communities/Projects and CEL Discussion

Speaker: Mark Neubauer (Univ. Illinois at Urbana Champaign (US))

Session Notes

14:40 Resources: HAL at NCSA's Innovative Systems Laboratory

Speaker: Volodymyr Kindratenko (University of Illinois at Urbana-Champaign)

caii_dl_tech.pdf

14:50 Resources: XACC Cluster at Illinois Coordinated Sciences Laboratory

Speaker: Deming Chen (University of Illinois at Urbana-Champaign)

UIUC_XACC.pdf

15:00 Resources: Cloud

Speaker: Philip Coleman Harris (Massachusetts Inst. of Technology (US))

PCH_Cloud_09_11.pdf

Wednesday, 10 November

11:00 → 13:10 Summary

Convener: Philip Coleman Harris (Massachusetts Inst. of Technology (US))

11:00 HAC

Speaker: Pan Li (Purdue University)

HAC-summary.pdf

11:10 HEP

Speaker: Miaoyuan Liu (Purdue University (US))

11:20 MMA

Speaker: Michael Coughlin (University of Minnesota)

MMA HDR Planning.pdf

11:30 Neuroscience

Speaker: Amy Orsborn

Neuroscience in A3D3_Summary and Discussion.pdf

11:40 Targeted & Heterogeneous systems

Speakers: Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))

A3D3_TargetedSystems_10Nov2021.pdf

12:00 Diversity, Equality and Inclusive

Speakers: Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))

12:10 Education

Speakers: Matthew Graham (California Institute of Technology), Matthew Graham

12:20 Engagement

Speakers: Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)

A3D3_Engagement_kickoff_meeting_summary.pdf

12:30 Final Remarks

Speaker: Shih-Chieh Hsu (University of Washington Seattle (US))

gslide