Academia Industry Engagement: Difference between revisions

From OpenCompute
Jump to navigation Jump to search
 
(16 intermediate revisions by 2 users not shown)
Line 31: Line 31:


The TSIAW will create a platform for communication and collaboration among industry professionals, academics, and researchers working on time synchronization
The TSIAW will create a platform for communication and collaboration among industry professionals, academics, and researchers working on time synchronization
==Projects==
{| class="wikitable"
|-
!
! 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
| [https://drive.google.com/file/d/15bpUlr-q7Afq8RV586CTfsbRdfwEWU75/view?usp=sharing Slides]
|
|-
|}


==Project Team==
==Project Team==
Line 36: Line 53:
:- Lead: [mailto:helbakoury@gmail.com Hesham Albakoury] (Individual)
:- Lead: [mailto:helbakoury@gmail.com Hesham Albakoury] (Individual)


==Bi-Weekly Meeting Invite==
==Monthly Meeting==
11:00am - 11:55am PT Bi-Weekly Wednesday meetings (opposites weeks of the normal OCP-TAP meeting) : [https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fl%2Fmeetup-join%2F19%3Ameeting_OGE1MzNkMGMtZDRjMS00YzFiLTg4MTAtZjcxNzEwYzI2ODIy%40thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%2522fbb4e2fb-f802-4d55-beca-b7149551e928%2522%252c%2522Oid%2522%253a%2522cff27e02-befc-4437-98d5-96034f77b90c%2522%257d%26anon%3Dtrue&type=meetup-join&deeplinkId=5f0bbd41-a286-4e8b-b786-5162812cfe21&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=true Launch Teams Meeting Link]
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
* [https://opencompute-org.zoom.us/j/81088740168?pwd=Nm05RmJPL0l1c0hqWUJCeFZOQUlIdz09 Zoom Link]


===Recording from Past Calls===
Meeting ID: 810 8874 0168
Passcode: 760037


==Recordings from Past calls==
{| class="wikitable"  
{| class="wikitable"  


Line 51: Line 73:
| [https://www.youtube.com/watch?v=50MZuNsYYEs TSIAW Academic Project #1 AI/ML Performance Improvements]
| [https://www.youtube.com/watch?v=50MZuNsYYEs TSIAW Academic Project #1 AI/ML Performance Improvements]
| Hesham ElBakoury, Dan Biederman (Intel)
| Hesham ElBakoury, Dan Biederman (Intel)
| [https://drive.google.com/file/d/15bpUlr-q7Afq8RV586CTfsbRdfwEWU75/view?usp=sharing Slides]
| [https://drive.google.com/file/d/15bpUlr-q7Afq8RV586CTfsbRdfwEWU75/view?usp=sharing Dan's Slides], [https://docs.google.com/presentation/d/1rsuoZZJ60BTKsQxBWaC2OFGYR6QUdNwF/edit?usp=sharing&ouid=104727018165459345315&rtpof=true&sd=true Hesham's Slides]
|-
| Jan-20 2022
| [https://drive.google.com/file/d/1Ctz2eWt2e71y9ChquZGdu6Fc9H5PQZZs/view?usp=sharing Work Stream Introduction]
| Anand Ram
|
|-
 
==Zoom Details==
 
Meeting ID: 810 8874 0168
 
Passcode: 760037
 
==Projects==
 
{| class="wikitable"
|-
!
! 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
|
|
|-
|-
|
|
|
|
|}
==References==
{| class="wikitable"
|-
!
! Paper !! Link
|-
| '''#1'''
| TBD
| TBD
|-
|-
|}
==Demos==
{| class="wikitable"
|-
!
! Demo Title !! Video Link
|-
| '''#1'''
| TBD
| TBD
|-
|-
|}

Latest revision as of 17:26, 13 May 2024

Screenshot 2020-07-01 16.35.12.png

Academic and Industry Engagement - Workstream #10[edit]

Back to Time Appliances Project's wiki

Goal[edit]

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[edit]

Bridge the gap between theory and practice[edit]

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[edit]

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[edit]

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[edit]

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[edit]

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

Projects[edit]

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

Project Team[edit]

- Lead: Dan Biderman (Intel)
- Lead: Hesham Albakoury (Individual)

Monthly Meeting[edit]

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

Meeting ID: 810 8874 0168 Passcode: 760037

Recordings from Past calls[edit]

Date Topics & Recordings Speakers Slides
May-1, 2024 TSIAW Academic Project #1 AI/ML Performance Improvements Hesham ElBakoury, Dan Biederman (Intel) Dan's Slides, Hesham's Slides