Academia Industry Engagement

Academic and Industry Engagement - Workstream #10

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Goal

The Time Synchronization Industry-Academia Workstream (TSIAW) brings together researchers and industry practitioners to discuss and solve challenging problems in time synchronization of connected devices and applications.

Objectives

Bridge the gap between theory and practice

The TSIAW will act as a bridge between academic research and industry needs. By bringing together researchers and practitioners, the workstream will ensure that research efforts address real-world challenges faced by the ever-growing and complex data center and edge communication networks and devices by developing robust, reliable and scalable novel solutions

Synchronization Data for Decision Makers

Research and develop the data required by data center decision makers, on how to use precise time to make data center and edge applications (AI, Databases, Microservices, etc.) or portions of that software run 2x to 1000+x better in performance, power, latency and/or cost when compared to unsynchronized solution.

Develop Time Synchronization Projects

The TSIAW will expose projects for academia that will have impact on data center and edge technologies. When possible, TSIAW will help facilitating the research. When possible, making a community of time synchronization experts available to Academia and Industry to improve applications through time synchronization.

Advance the field of time synchronization

The TSIAW will strive to push the boundaries of time synchronization research by facilitating collaboration between industry and academia. This will involve identifying critical research areas, promoting joint research projects, and disseminating findings and solutions through conferences, workshops, repositories, and publications. (First virtually) (Not focused on crazy precise, more on applications)

Foster a dynamic, vibrant and knowledgeable community of time synchronization experts

The TSIAW will create a platform for communication and collaboration among industry professionals, academics, and researchers working on time synchronization

Projects

Academic / Industry Projects

These are projects that anyone can develop and present to the community. They are idea for college projects, thesis, and dissertations.

	Start Date	End Date	Call For Action	Statement	Introduction Slides	Wiki
#1	5/1/2024	Open	Artificial Intelligence / Machine Learning College Project	A Precisely Synchronized Datacenter Would Improve Overall Performance of Distributed Artificial Intelligence and Machine Learning	Slides

Crowd Sourced Projects

These are projects that anyone can contribute, even with very little time. Simply add your name to the contributor's list in the appendix and add your update. Every 6 months or so, we will give the document to OCP as a contribution. Please reach out the the OCP-TAP Workstream 10 leads to learn how to edit the document.

	Start Date	End Date	Document Title	Video	Slides
#1	6/1/2024	Open	Deconstructing Distributed AI/ML with Precise Time	Video	Slides

Project Team

- Lead: Dan Biderman (Intel)

- Lead: Hesham Albakoury (Individual)

Monthly Meeting

First week of every month. The actual day and time of the meeting will be determined based on the result of the Doodle Poll

Zoom Details

• Zoom Link

Meeting ID: 810 8874 0168 Passcode: 760037

Recordings from Past calls

Date	Topics & Recordings	Speakers	Slides
Jun 03, 2024	TF techniques for quantum networks	Tara Fortier	Slides
May-1, 2024	TSIAW Academic Project #1 AI/ML Performance Improvements	Hesham ElBakoury, Dan Biederman (Intel)	Dan's Slides, Hesham's Slides