Containers (COMPLECS)

Remote event

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. 

In this webinar, we'll provide an overview of Singularity and how you might incorporate the use of containers in your own research. We'll also show you how to access and use some of the containerized applications that we make available to users on ACCESS systems like Expanse at SDSC.

Instructor

Marty Kandes, Ph.D.

Computational and Data Science Research Specialist, SDSC

Marty Kandes is a Senior Computational and Data Science Research Specialist at the San Diego Supercomputer Center (SDSC). As part of the High-Performance Computing (HPC) User Services Group within the Data-Enabled Scientific Computing Division, he provides technical user support and services to the national research community leveraging the Advanced Cyberinfrasurcture (CI) and HPC resources designed, built and operated by SDSC on behalf of the U.S. National Science Foundation (NSF). Marty is also a member of the National Artificial Intelligence (AI) Research Institute for Intelligent CI with Computational Learning in the Environment (ICICLE). His current research interests include problems in distributed AI inference over wireless networks, data privacy in natural language processing, and secure interactive computing. He also contributes to many of the education, outreach, and training initiatives at SDSC, including serving as a Co-PI for the COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure (COMPLECS) CyberTraining program and as mentor for the Research Experience for High School Students (REHS) program. Marty received his Ph.D. in Computational Science from the Computational Science Research Center (CSRC) at San Diego State University (SDSU), where he studied quantum systems in rotating frames of reference through the use of numerical simulations. He also holds an M.S. in Physics from SDSU and dual B.S. degrees in Applied Mathematics and Physics from the University of Michigan, Ann Arbor.