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Event planning and general information template below - To be updated by Event/Meeting Lead

Event/Meeting Details

LF AI & Data Participation Overview: 

LF AI & Data Foundation is pleased to welcome you at the LF AI & Data Day* – ONNX Community Virtual Meetup – October 2021. This event will be hosted online via Zoom video conferencing on Thursday, October 21, 2021. The event will feature the LF AI & Data hosted Graduated Project, ONNX.

The event will cover ONNX Community updates, partner/end-user stories, and SIG/WG updates. Check back for a full agenda soon.

If you are using ONNX in your services and applications, building software or hardware that supports ONNX, or contributing to ONNX, you should attend! This is a great opportunity to meet with and hear from people working with ONNX across many companies.

Note: In order to ensure the safety of our event participants and staff due to the Novel Coronavirus situation (COVID-19) the ONNX Steering Committee decided to make this a virtual-only event via Zoom.

*LF AI & Data Day is a regional, one-day event hosted and organized by local members with support from LF AI & Data and its Projects. Learn more about the LF AI & Data Foundation here.

Event Location & Date(s): 

Zoom meeting on Thursday, October 21, 2021

Event Time:

8:00 AM - 11:00 AM - PDT (Pacific Daylight Time)

Event Host Lead Name & Contact Details: Rajeev Nalawadi, rajeev.k.nalawadi@intel.com 

LF AI & Data Contact Name & Contact Details: Erin Thacker, ethacker@linuxfoundation.org 


Event Website: https://events.linuxfoundation.org/lf-ai-data-day-onnx-community-virtual-meetup-fall/

Event Registration: https://events.linuxfoundation.org/lf-ai-data-day-onnx-community-virtual-meetup-fall/register/

Event Agenda/Schedule: Check back for agenda/schedule soon

Recording on ONNX Playlist of LF AI & Data YouTube: Check back for playlist soon

Please submit any questions about LF AI & Data participation at this event to: outreach-committee@lists.lfaidata.foundation

Previous Community Event Wiki: LF AI & Data Day - ONNX Community Virtual Meetup - March 24, 2021


Planning To-Do List

Tracking for to-do items, due dates, owners, and notes

To Do

Due Date

Completed

Owner

Notes

Post presentations and recordingsOctober 22
Event Lead
Communicate availability of the event's recordings and presentationsOctober 25
LF AI & Data-LF AI social scheduled for TBD.

Schedule & Presentations

Time

Duration

Topic / Speaker

Deck / Recording Links

8:00 AM PST15 minutes

Event Kickoff - Agenda Review, Host: Rajeev Nalawadi (Intel)

ONNX Progress Update

Speakers: ONNX Steering Committee - Prasanth, Alex, Wenming, Rajeev


000 - ONNX SC Session

Full Event Recording and Presentation

Recording full meeting (3 hours)

Slides ONNX workshop October 21, 2021 final.pptx


ONNX Steering Committee Welcome, Progress, Roadmap, Release (15 minutes)

Recording, YouTube, Twitter, LinkedIn, Facebook


8:15 AM PST1 hour, 55 minutes

Community Presentations (Agenda Review)

Host: ONNX SC Member



10 minutes

#1 ONNX Runtime Web: running your machine learning model in browser

Speaker: Emma Ning (Microsoft)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook

10 minutes

#2 ONNX as standard format for institution with legacy

Speaker: Haixuan Xavier Tao ( Banque France)


10 minutes

#3 ONNX and the AI on IBM Z client journey

Speaker(s): Elpida Tzortzatos & Andrew M. Sica (IBM)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook

10 minutes

#4 Intel® Neural Compressor: A Scalable Quantization Tool for ONNX Models

Speaker: Mengni Wang (Intel)

SlidesRecording, YouTube, Twitter, Linkedin, Facebook

10 minutes

#5 Ascend CANN and ONNX : inference interoperability for better performance

Speaker: Zhipeng Huang (Huawei)

SlidesRecording, YouTube, Twitter, LinkedIn, Facebook

10 minutes

#6 Intel® OneAPI software stack: ONNX Support for xPU hardware

Speaker: Kiefer Kuah (Intel)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

#7 ONNX: Boosting PaddlePaddle Deployment in Industry

Speaker: Jiajun Jiang (Baidu)

SlidesRecording, YouTube, Twitter, LinkedIn, Facebook

10 minutes

#8 Auditing considerations for ONNX models and benchmarking with QuSandbox

Speaker: Sri Krishnamurthy (QuantUniversity)

SlidesRecording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

#9 TVM: Dynamic shapes, control flow, and quantization with a compiler

Speaker: Jason Knight (OctoML) and Andrew Luo (OctoML)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook

10 minutes

#10: Place of ONNX in OpenVINO ecosystem

Speaker: Sergey Lyalin (Intel)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

#11: Triton & ONNX Runtime

Speaker: Ashwini Khade (Microsoft), Mahan Salehi (Nvidia)

SlidesRecording, YouTube, Twitter, LinkedIn, Facebook

10:10 AM PST50 minutesSIGs and WGs Updates - Agenda Review, Host: ONNX SC Member

10 minutes

012 - Architecture/Infrastructure SIG Update

Co-Chairs: Ashwini Khade (Microsoft)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

013 - Operators SIG Update

Co-Chairs: Michal Karzynski (Intel), Ganesan Ramalingam (Microsoft)

Slides, Recording YouTube, Twitter, LinkedIn, Facebook


10 minutes

014 - Converters SIG Update

Co-Chairs: Chin Huang (IBM), Guenther Schmuelling (Microsoft), Kevin Chen (Nvidia)

Slides (PDF), Recording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

015 - Model Zoo / Tutorials SIG Update

Co-Chairs: Wenbing Li & Mark Hamilton (Microsoft)

SlidesRecording, YouTube, Twitter, LinkedIn, Facebook


10 minutes

016 - Pre-processing WG

Co-chairs: Joaquin Anton (Nvidia)

Slides, Recording, YouTube, Twitter, LinkedIn, Facebook



Q&A and Meetup Conclusion

ONNX SC Member



Q&A

Speaker

Question

Answer

Welcome







Community Talks







SIG Talks








Event/Meeting Photos

Post final event photos to be used in future marketing, social, and content 

Planning Meeting Notes

Add planning meeting notes here for collaboration among event planning participants

Meeting Date: October 21, 2021

  • Draft and incorporate draft of post-event survey into timeline





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