Academia Industry Engagement: Difference between revisions

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(Created page with "right ==Instrumentation and Measurement - Workstream #6== [https://www.opencompute.org/wiki/Time_Appliance_Project Back to Time Appliances Project's wiki] ==Objective== Open source ecosystem for instrumentation and measurement software and tools. Scalable, reliable, cost-effective and efficient. ==Project Team== :- Lead: [mailto:anand.ram@calnexsol.com Anand Ram] (Calnex) :- Lead: [mailto:julianstj@fb.com Julian St James] (Me...")
 
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==Instrumentation and Measurement - Workstream #6==
== Academic and Industry Engagement - Workstream #10==
[https://www.opencompute.org/wiki/Time_Appliance_Project Back to Time Appliances Project's wiki]
[https://www.opencompute.org/wiki/Time_Appliance_Project Back to Time Appliances Project's wiki]


==Objective==
==Goal==
Open source ecosystem for instrumentation and measurement software and tools. Scalable, reliable, cost-effective and efficient.


==Project Team==
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.
:- Lead: [mailto:anand.ram@calnexsol.com Anand Ram] (Calnex)
 
:- Lead: [mailto:julianstj@fb.com Julian St James] (Meta)
==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===


==Meeting invite==
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)
8:00am - 8:30am PST Second Thursday every month: [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]


==Recording from Past Calls==
[https://drive.google.com/file/d/1Ctz2eWt2e71y9ChquZGdu6Fc9H5PQZZs/view?usp=sharing 20 Jan 2022]


[https://drive.google.com/file/d/1Ew3LOo-vUEA_KcP0A_MnnkuHmVzykC6V/view?usp=sharing 27 Jan 2022]
===Foster a dynamic, vibrant and knowledgeable community of time synchronization experts===


[https://drive.google.com/file/d/1iBY6HX9EA6CKG3QWYw7ZwfNMUUyketMG/view?usp=sharing 24 Feb 2022]
The TSIAW will create a platform for communication and collaboration among industry professionals, academics, and researchers working on time synchronization


[https://drive.google.com/file/d/1xPt-CWZEpcoVGmgpRnG8ccebdfoZ46vq/view?usp=sharing 23 Jun 2022]
==Project Team==
:- Lead: [mailto:Dan.Biderman@intel.com Dan Biderman] (Intel)
:- Lead: [mailto:helbakoury@gmail.com Hesham Albakoury] (Individual)


[https://drive.google.com/file/d/1uO8RtSFO5l7xTY6mTIrsImsP2iaRvyNC/view?usp=sharing 27 Oct 2022 PTP Simulator Demo]
==Bi-Weekly Meeting Invite==
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]


[https://drive.google.com/file/d/1sZzXC85Pl4viJoBF0x6Y_eYNiCe-YtY-/view?usp=sharing 10 Nov 2022 Monitoring Discussion]
==Recording from Past Calls==
Wednesday May 1st 2024 Work Stream Introduction [https://drive.google.com/file/d/1Ctz2eWt2e71y9ChquZGdu6Fc9H5PQZZs/view?usp=sharing 20 Jan 2022]


[https://drive.google.com/file/d/1Cx59jrTRm4alglwwRJbUdfuyTsHQAxM8/view?usp=sharing 11 May 2023 PTM Testing Kickoff]
===Zoom Details===


[https://drive.google.com/file/d/1yQ3cyI7ld8FdiqXQYEe6gZgZzFM_qO5S/view?usp=sharing 28 Sep 2023]
Meeting ID: 810 8874 0168


[https://drive.google.com/file/d/1TmXMF-VchMt06UzEo8Ot36kKkZkriWYD/view?usp=sharing 8 Feb 2024 Monitoring & Measurement Discussion]
Passcode: 760037


==Hardware Roadmap==
==Projects==


{| class="wikitable"
{| class="wikitable"
|-  
|-  
!
!
! Design !! Objective
! Start Date !! End Date !! Call For Action !! Statement !! Introduction Slides !! Wiki
|-  
|-  
| '''#1'''
| '''#1'''
| Time Card based PPS measurement
| 5/1/2024
| Scaleable use of the Time Card in a generic server to perform up to 4 PPS measurements
| Open
| Artificial Intelligence / Machine Learning College Project
|  A Precisely Synchronized Datacenter Would Improve Overall Performance of Distributed Artificial Intelligence and Machine Learning
|
|
|-
|-
|
|
|}
|}


==Software==
==References==
{| class="wikitable"
{| class="wikitable"
|-  
|-  
!
!
! Design !! Objective
! Paper !! Link
|-  
|-  
| '''#1'''
| '''#1'''
| Time Card based PPS measurement
| TBD
| Interface with Time Card driver and export PPS measurement data in a useful format
| TBD
|-
|-
|}
|}


==Potential Future Hardware Solutions==
==Demos==


{| class="wikitable"
{| class="wikitable"
|-  
|-  
!
!
! Core Hardware !! Objective
! Demo Title !! Video Link
|-  
|-  
| '''#1'''
| '''#1'''
| TDC
| TBD
| Small, cheap, and low power use-case
| TBD
|-
|-
|-  
|-  
| '''#2'''
| PTM controller
| A PCIe based daughter card that can be synchronized with a high stability source (Time Card) over PCIe to scale PPS measurements
|-
|-
| '''#3'''
| UWB
| A method for distributing GPS and time to areas where measurements are made, but GPS is not available
|-
|-
| '''#4'''
| DPLL
| A discrete design based around a DPLL , removing the need for an FPGA
|-
|}
|}

Latest revision as of 21:47, 26 April 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

Project Team[edit]

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

Bi-Weekly Meeting Invite[edit]

11:00am - 11:55am PT Bi-Weekly Wednesday meetings (opposites weeks of the normal OCP-TAP meeting) : Launch Teams Meeting Link

Recording from Past Calls[edit]

Wednesday May 1st 2024 Work Stream Introduction 20 Jan 2022

Zoom Details[edit]

Meeting ID: 810 8874 0168

Passcode: 760037

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

References[edit]

Paper Link
#1 TBD TBD

Demos[edit]

Demo Title Video Link
#1 TBD TBD
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