March 13, 2023 (All day) to March 15, 2023 (All day)
Tucson, AZ - Marriott University Park
Globus will be exhibiting at this year's Storage Technology Showcase. Please stop by our exhibit and see what's new. Learn more about our latest service for automating data handling with Globus Flows.
We closed out 2022 by releasing support for migration of all Globus Connect Server version 4 deployment configurations. Today we are announcing that Globus Connect Server version 4 will be deprecated on July 31, 2023. Thereafter, support will be limited to security patches only. All support for Globus Connect Server version 4 will be discontinued at the end of 2023.
The Globus Flows service will be briefly unavailable starting at 3:30 pm US Central on Saturday, December 3, 2022 in order to accommodate database upgrades. We anticipate this downtime will be less than ten minutes.
During this planned downtime, the following will be impacted:
April 25, 2023 (All day) to April 27, 2023 (All day)
Chicago, IL and Online
Intercontinental Hotel - Miracle Mile
GlobusWorld returns to Chicago in 2023, for three days of presentations, tutorials, discussions and connections with Globus users from around the world. This annual event brings together researchers, systems administrators, developers and IT leaders from top computing centers, labs and universities. The event is designed to provide new insights into managing research data and storage at scale, as well as building and using cutting-edge applications, portals and gateways.
Globus is looking forward to participating once again in Bio-IT World 2023. Take a look at the information below to see all our activities at the show:
Visit the Globus Booth
Globus will have an exhibit where attendees can meet with our experts, see demos and get questions answered:
Funding from the National Science Foundation and the Chan Zuckerberg Initiative (CZI) will support parallel programming enabler Parsl as it enters a new phase of sustainability, community, and outreach.
As the scale of scientific research grows larger, so too do the barriers. Data-intensive and computation-heavy work across all fields can benefit from parallel computing and high-performance resources, but not everyone knows how to scale up from a laptop to a supercomputer.
