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A3D3 Kick-off meeting

8–10 Nov 2021
US/Pacific timezone

Contribution List

44 out of 44 displayed
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  1. 1. Introduction
    Shih-Chieh Hsu (University of Washington Seattle (US))
    08/11/2021, 11:00
  2. 28. Logo and Website
    Miaoyuan Liu (Purdue University (US)), Philip Coleman Harris (Massachusetts Inst. of Technology (US))
    08/11/2021, 11:10
  3. 19. HEP
    Miaoyuan Liu (Purdue University (US))
    08/11/2021, 11:25
  4. 20. MMA
    Michael Coughlin (University of Minnesota)
    08/11/2021, 11:30
  5. 21. Neuros
    Amy Orsborn
    08/11/2021, 11:35
  6. 22. HAC
    Pan Li, Pan Li
    08/11/2021, 11:40
  7. 24. Targeted & Heterogenous Systems
    Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
    08/11/2021, 11:45
  8. 25. Engagement
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
    08/11/2021, 11:50
  9. 26. Education
    Matthew Graham (California Institute of Technology), Matthew Graham
    08/11/2021, 11:55
  10. 27. Equity and Career
    Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))
    08/11/2021, 12:00
  11. 45. Graph neural networks in HEP
    Yongbin Feng (Fermi National Accelerator Lab. (US))
    08/11/2021, 12:20
    HEP

    10 mins talk + 5 mins discussion

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  12. 41. intro to neuro data
    Prof. Maria Dadarlat (Purdue)
    08/11/2021, 12:20

    overview of signal types, properties

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  13. 42. auto-encoders for neural signal prediction
    MICHAEL NOLAN
    08/11/2021, 12:32
  14. 46. Anomaly detection in HEP
    Sang Eon Park (Massachusetts Inst. of Technology (US))
    08/11/2021, 12:35
    HEP

    10 mins talk + 5 mins discussion

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  15. 43. approaches to analyze behavior
    JINGYUAN LI
    08/11/2021, 12:44
  16. 47. SPVCNN applications in HEP
    Alexander Joseph Schuy (University of Washington (US))
    08/11/2021, 12:50
    HEP

    10 mins talk + 5 mins discussion

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  17. 44. discussion time
    08/11/2021, 12:56
  18. 40. Intro
    Pan Li (Purdue)
    08/11/2021, 13:10
    HAC

    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.

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  19. 29. Point cloud methods for science
    Zhijian Liu (MIT)
    08/11/2021, 13:12
    HAC
  20. 30. GNN-for-Science
    Siqi Miao (Purdue)
    08/11/2021, 13:24
    HAC
  21. 32. ScaleHLS
    Hanchen Ye (UIUC)
    08/11/2021, 13:36
    HAC
  22. 33. HLS4ML
    Dylan Rankin (MIT)
    08/11/2021, 13:48
    HAC
  23. 38. Intro
    Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
    09/11/2021, 11:00

    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...

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  24. 35. HEP: Level-1 trigger (FPGA) + On-detector readout (ASIC)
    Daniel Diaz (Univ. of California San Diego (US))
    09/11/2021, 11:05
  25. 39. HEP: Services for Optimized Network Inference on Coprocessors (SONIC)
    Jeffrey Krupa (Massachusetts Institute of Technology)
    09/11/2021, 11:25
  26. 37. MMA: Gravitational Wave Inference as a Service
    Alec Gunny, Alec Gunny (Massachusetts Institute of Technology)
    09/11/2021, 11:45
  27. 36. Neuroscience: Sleep Spindles as a Driver of Low Latency, Low Power ML
    Xiaohan Liu
    09/11/2021, 12:05
  28. 54. Post-bacc Rubric Discussion
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    09/11/2021, 12:40
  29. 55. Post-bacc Ad
    09/11/2021, 12:50
  30. 56. Code of Conduct
    09/11/2021, 13:05
  31. 57. Postdoc Mentoring
    09/11/2021, 13:20
  32. 49. Engagement with other Communities/Projects and CEL Discussion
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
    09/11/2021, 14:25
  33. 51. Resources: HAL at NCSA's Innovative Systems Laboratory
    Volodymyr Kindratenko (University of Illinois at Urbana-Champaign)
    09/11/2021, 14:40
  34. 52. Resources: XACC Cluster at Illinois Coordinated Sciences Laboratory
    Deming Chen (University of Illinois at Urbana-Champaign)
    09/11/2021, 14:50
  35. 53. Resources: Cloud
    Philip Coleman Harris (Massachusetts Inst. of Technology (US))
    09/11/2021, 15:00
  36. 9. HAC
    Pan Li (Purdue University)
    10/11/2021, 11:00
  37. 10. HEP
    Miaoyuan Liu (Purdue University (US))
    10/11/2021, 11:10
  38. 11. MMA
    Michael Coughlin (University of Minnesota)
    10/11/2021, 11:20
  39. 12. Neuroscience
    Amy Orsborn
    10/11/2021, 11:30
  40. 14. Targeted & Heterogeneous systems
    Eli Shlizerman, Javier Mauricio Duarte (Univ. of California San Diego (US))
    10/11/2021, 11:40
  41. 17. Diversity, Equality and Inclusive
    Javier Mauricio Duarte (Univ. of California San Diego (US)), Miaoyuan Liu (Purdue University (US))
    10/11/2021, 12:00
  42. 16. Education
    Matthew Graham (California Institute of Technology), Matthew Graham
    10/11/2021, 12:10
  43. 15. Engagement
    Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
    10/11/2021, 12:20
  44. 18. Final Remarks
    Shih-Chieh Hsu (University of Washington Seattle (US))
    10/11/2021, 12:30

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