Research Computing Odyssey Users,
For those of you returning, welcome back. For those new to Harvard, we hope to provide you with solid services, resources and support. Below is information on some important updates as well as our new training schedule.
Next Maintenance: Due to the Labor Day holiday, the next monthly maintenance will be Monday, Sept. 11th 7-11am. A notice will be sent out next week with the specifics or visit https://www.rc.fas.harvard.edu/monthly-maintenance
This fall the “general” partition on Odyssey will receive a compute refresh of 15,000 Intel Broadwell cores. By the end of the calendar year, the base operating system for all Odyssey compute will be updated to CentOS 7 to support newer technology architectures and software. See more information and progress here.
Training: Starting next week we kick off our Fall Training sessions. These will occur biweekly immediately before on-campus and HCSPH Office Hours. Don’t miss the opportunity to increase your cluster skills and make your research more productive. Dates and times vary by campus, so please see the full line-up here.
Globus World Tour: Sept 12th 1-5pm & 13th 9-2pm, LISE 303. Register Now.
Globus is a research data management service developed by the University of Chicago and used by over 50,000 researchers worldwide. Those new to Globus will learn about features that support data management throughout the research lifecycle. System administrators will learn about advanced Globus endpoint configurations and have the opportunity to discuss their specific use cases with Globus staff. Developers will learn how the Globus APIs provide intuitive access to authentication, authorization, sharing, transfer, and synchronization capabilities. Companion iPython/Jupyter notebooks will provide application skeletons that you can adapt to realize your own research data portals, science gateways, and other web applications that support research data workflows.
Mathworks - Hands on Parallel Computing: Oct 3rd 9:30-4pm, LISE 303.
This course introduces tools and techniques for distributing code and writing parallel algorithms in MATLAB®. The course shows how to use Parallel Computing Toolbox™ to speed up existing code and scale up across multiple computers using MATLAB Distributed Computing Server™(MDCS). Attendees who are working with long-running simulations, or large data sets, will benefit from the hands-on demonstrations and exercises in the course.
Dr. Scott Yockel | Interim Director
FAS Research Computing | Harvard University