January 2021
VIRTUAL: Tech Talk - "YCRC CAREERS Cyberteam"
Please join Kaylea Nelson, Ph.D. Senior Computational Research Support Analyst, Yale Center For Research Computing.
For a presentation on “Supporting Research at Smaller Institutions with Student Research Computing Facilitators.”
Zoom Meeting Information:
Zoom Link: https://yale.zoom.us/j/9124570475?pwd=OFlySEhjOUtLSFcxK0VOZFNhbmwwQT09
Password: 961702
Telephone 203-432-9666 (2-ZOOM if on-campus) or 646-568-7788
Meeting ID: 912 457 0475
VIRTUAL: Tech Talk - "Spinup Data Enclave"
Please join Tenyo Grozev, Cloud Technologies Lead Engineer, for a presentation on “Spinup – Data Enclave.”
This demo will cover the use and basic functionality of Spinup secure data sets which are built around AWS S3 and integrate with other Spinup services.
We’ll go through uploading a sample research data set, managing access, and working with it from Windows and Linux servers.
Zoom Meeting Information
Yale Day of Data Spring Series: Language (Data) Is Everywhere! Linguistics and Language Data in Research
What kind of data do linguists use and how do they use it? Please join us for a panel that will get into the nitty gritty of linguistics data across a variety of subfields, from brain imaging to corpus analysis and beyond, moderated by Professor of Linguistics and 2020-2021 Model Research Collection Curator Claire Bowern.
Panelists:
- Robert Frank, Professor of Linguistics
- Maria Piñango, Associate Professor of Linguistics
- Natalie Weber, Assistant Professor of Linguistics
- Jim Wood, Assistant Professor of Linguistics
XSEDE Webinar: An Introduction to Singularity: Containers for Scientific and High-Performance Computing
Singularity is an open-source container engine designed to bring operating system-level virtualization (containerization) to scientific and high-performance computing. With Singularity you can package complex scientific workflows — software applications, libraries, and data — in a simple, portable, and reproducible way, which can then be run almost anywhere. Once you’ve created your container, you can run it on the workstation in your lab, on a virtual machine in the public cloud, or on hundreds of thousands of compute cores on the world’s largest supercomputers.