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


Event Website: Check back for website soon
Event Registration: Check back for registration link soonhttps://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

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Please submit any questions about LF AI & Data participation at this event to: outreach-committee@lists.lfaidata.foundationEvent Host Lead Name & Contact Details: Rajeev Nalawadi, rajeev.k.nalawadi@intel.com 


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 presentations
March 31
October 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


5 minutes





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

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

10 minutes

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

Speaker: Mengni Wang (Intel)

SlidesRecording

10 minutes

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

Speaker: Zhipeng Huang (Huawei)

SlidesRecording

10 minutes

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

Speaker: Kiefer Kuah (Intel)


10 minutes

#7 ONNX: Boosting PaddlePaddle Deployment in Industry

Speaker: Jiajun Jiang (Baidu)

SlidesRecording

10 minutes

#8 Auditing considerations for ONNX models and benchmarking with QuSandbox

Speaker: Sri Krishnamurthy (QuantUniversity)


10 minutes

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

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

Slides, Recording

10 minutes

#10: Place of ONNX in OpenVINO ecosystem

Speaker: Sergey Lyalin (Intel)


10 minutes

#11: Triton & ONNX Runtime

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

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

10 minutes

Architecture/Infrastructure SIG Update

Co-Chairs: Ashwini Khade (Microsoft)


10 minutes

Operators SIG Update

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

10 minutes

Converters SIG Update

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

Slides , (Slides PDF upload)


10 minutes

Model Zoo / Tutorials SIG Update

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


10 minutes

Pre-processing WG

Co-chairs: Joaquin Anton (Nvidia)



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 

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