Calendar of Events
APS Storage Ring Upgrade, year long shutdown
https://www.aps.anl.gov/APS-Upgrade
APS Scientific Computation Seminar Speakers:
Matthew Dearing, Software Engineer, BIS
Michael Prince, Software Engineering Associate, XSD
Title: Generative AI for Science Operations at Argonne
Date: December 4, 2023
Time: 1:00 PM (Central Daylight Savings Time)
Location:
Join ZoomGov Meeting
https://argonne.zoomgov.com/j/1601213680?pwd=MXZaZnMwWUpyaHlKSXdWNTh4VFkvQT09
Meeting ID: 160 121 3680
Passcode: 074116
APS Upgrade Virtual Q&A Session
Don’t forget to register for the latest in Argonne’s series of APS Upgrade virtual Q&A sessions, to be held on Wednesday, December 6 from Noon – 1:00 p.m. CT. This will be your opportunity to ask questions about the return to user operations in 2024.
Panelists for the Q&A session include:
• Jim Kerby, director of the APS Upgrade Project
• Jonathan Lang, director of the X-ray Science Division at Argonne
• Connie Vanni, assistance manager, APS User Programs
Event Details
Wednesday, December 6
Noon – 1:00 p.m. CT
REGISTER HERE
After brief presentations, our panelists will answer your questions about the upgrade. Other experts will be available to answer specific and technical questions about the project and the scientific benefits of the upgraded APS as well.
To register for the Q&A session, please complete the registration.
You will receive instructions for how to join the meeting in a follow-up e-mail.
You also have one more week to send in questions in advance for the Q&A session. If you would like to submit a question, please email it to apsupgrade@anl.gov. Panelists will also answer questions asked live in the session.
If you have questions about the virtual session, send email to apsupgrade@anl.gov. Up-to-date news on the APS Upgrade will be posted online. Thank you for your continued support of the APS Upgrade, and we look forward to answering your questions.
Sincerely,
Jim Kerby
Jonathan Lang
Connie Vanni
________________________________________
Contact us with questions or feedback at apsupgrade@anl.gov.
________________________________________
Applied AI Seminar Series
Speaker:
Prof. Aditi Krishnapriyan, University of California, Berkeley
Title: Machine learning strategies for the sciences through the lens of physics insights
Date: Monday, December 11, 2023
Time: 3:00 p.m. (Central Time)
Location:
Microsoft Teams meeting
Join on your computer, mobile app or room device.
Click here to join the meeting
Meeting ID: 225 924 574 733
Passcode: nNRsX3
PSC All Hands Meeting
Join ZoomGov Meeting
https://argonne.zoomgov.com/j/1600747791?pwd=cDg0eTZTL0ZHNnQyTHVSb1pvS044Zz09
Meeting ID: 160 074 7791
Passcode: 348654
XSD/SRS Special Science Presentation
Speaker: Md Arifuzzaman, Postdoctoral Appointee
University of Nevada, Reno
Title: “Data Transfer Solutions for Next-Generation Research Networks”
Date: Friday, December 15, 2023
Time: 2:00 pm
Location: 433/C010 or TEAMS
Host:
Wenqian Xu
Abstract:
Research networks provide high-speed wide-area network connectivity between research and education institutions to facilitate large-scale data transfers. However, scalability issues of legacy transfer applications (e.g., scp and FTP) and their extensions (e.g., GridFTP and rsync) hinder the effective utilization of these networks. We propose online optimization algorithms to tune the degree of parallelism for file transfers to maximize transfer throughput while keeping system overhead at a minimum. First, we introduce Falcon that utilizes game theory-inspired novel utility function to evaluate the performance of various parallelism levels such that competing transfers are guaranteed to converge to a fair and stable solution. We assessed the performance of Falcon in isolated and production high-speed networks and found that it can discover optimal transfer parallelism in as little as 20 seconds and outperform the state-of-the-art solutions by more than 2x. On the other hand, Falcon uses the same level of parallelism for network and I/O operations which may result in increased system overhead and unfair resource allocation. To address this issue, we developed modular file transfer architecture, Marlin, that separates I/O and network operations so that parallelism can be independently adjusted for each component. Marlin adopts online gradient descent algorithm to swiftly search the solution space and find the optimal level of parallelism for read, transfer, and write operations. Experimental results collected under various network settings show that Marlin can identify and use a minimum parallelism level for each component, reducing system overhead (e.g., low CPU usage and I/O contention) and improving fairness among competing transfers.
The FORCE Winter Workshop on Recent Developments in High Pressure Research will be held in Tempe, AZ on Jan. 3–4, 2024. There will not be a virtual option.
Book your early registration by midnight (MST) this Friday Dec. 1 before the price increases!
https://bit.ly/FORCEww24reg
Students: follow the link in your registration confirmation email to apply for travel assistance.
Want to present your research? Follow the link in your registration confirmation email to submit a poster abstract. To be considered for an elevated talk, please submit your abstract by midnight (MST) this Friday, Dec. 1.
View the flyer for more information (link and also attached to this email) or check out our website.
Events – FORCE: Facility for Open Research in a Compressed Environment (asu.edu)
PSC All Hands Meeting
Join ZoomGov Meeting
https://argonne.zoomgov.com/j/1613960789?pwd=SkthdFo4dy9mMEcxSUhEeEMvL09tZz09
Meeting ID: 161 396 0789
Passcode: 159535
PSC All Hands Meeting
Join ZoomGov Meeting
https://argonne.zoomgov.com/j/1605638261?pwd=Qnc0M09jNUpwQm80NzhVOTloU3Mrdz09
Meeting ID: 160 563 8261
Passcode: 463277
One tap mobile
Meeting ID: 160 563 8261
PSC All Hands Meeting
Join ZoomGov Meeting
https://argonne.zoomgov.com/j/1607841765?pwd=U2l4eHM1bHNQQ0tvb1ZyR2dsRGZ5UT09
Meeting ID: 160 784 1765
Passcode: 105176
One tap mobile