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.
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 | 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 | |
| #2 | 8/26/2024 | First Project Meeting | Artificial Intelligence / Machine Learning College Project | First meeting to discuss the AI/ML College Project was recorded for anyone who was not able to attend | Video | |
| #3 | 9/19/2024 | Second Project Meeting | Artificial Intelligence / Machine Learning College Project | AI/ML Precise Time Projects | Video | Notes |
| Start Date | End Date | Document Title | Video | Slides | Link to Document | |
|---|---|---|---|---|---|---|
| #1 | 6/1/2024 | Open | Deconstructing Distributed AI/ML with Precise Time | Video | Slides | Document |
Project Team
- - Lead: Dan Biederman (Intel)
- - Lead: Hesham Albakoury (Individual)
Mailing List and Calendar details
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 and Recordings | Speakers | Slides | Notes |
|---|---|---|---|---|
| Dec 02, 2024 | Time Transfer and Ensembles Across Moving Platforms | Dr. Marc Weiss, National Institute of Standard sand Technology (NIST) Time and Frequency Division in Boulder, Colorado | Slides | |
| Nov 20, 2024 | ||||
| Nov 04, 2024 | Intelligent Synchronization Techniques for Effective Digital Twin Construction | Prof. Xianbin Wang, Department of Electrical and Computer Engineering, Western University, Canada | ||
| Oct 22, 2024 - 9PM | OCP TAP - TSIAW Workstream call | |||
| Oct 9, 2024 - 9PM | OCP TAP - TSIAW Workstream call (9PM) | |||
| Oct 9, 2024 - 9AM | OCP TAP - TSIAW Workstream call (9AM) | |||
| Oct 7, 2024 | Time Synchronization of Optical Switching | Dr. Sébastien RUMLEY, Professor, iCoSys Institute | Slides | |
| Sep 19, 2024 - 8PM | OCP TAP - TSIAW Workstream call (8PM) | |||
| Sep 19, 2024 - 9AM | AI/ML Networking Problems and Potential Solutions with Precise Time | Dan Biederman (Intel), Julian Saint James (Meta) | Meeting Notes | |
| Sep 02, 2024 | Bringing Together Precise Timing, Telecoms and Digital Twin | Dr. Chris Murphy, Regional CTO, EMEA | Slides | |
| Aug 26, 2024 | Workstream Call | Dan Biderman | ||
| July 01, 2024 | Quantum Time Transfer | David Mitlying | 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 |