COMPLECS: Interactive Computing

Interactive computing refers to working with software that accepts input from the user as it runs. This applies not only to business and office applications, such as word processing and spreadsheet software, but HPC use cases involving code development, real-time data exploration and advanced visualizations run across one or more compute nodes. Interactive computing is often used when applications require large memory, have large data sets that are not that practical to download to local devices, need access to higher core counts, or rely on software that is difficult to install. User inputs are entered via a command line interface (CLI) or application GUI (e.g., Jupyter Notebooks, Matlab, RStudio). Actions are initiated on remote compute nodes as a result of user inputs. This session will introduce participants to advanced CI concepts and what's going on "under the hood" when they are using interactive tools. Topics covered will include mechanisms for accessing interactive resources, commonalities and differences between batch and interactive computing, understanding the differences between web-based services and X11/GUI applications, monitoring jobs running on interactive nodes, and an overview of Open OnDemand portals.

Visit SDSC's website for more upcoming training and events. 

--- 
What is COMPLECS? - COMPLECS (COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure) is a new SDSC program where training will cover non-programming skills needed to effectively use supercomputers. Topics include parallel computing concepts, Linux tools and bash scripting, security, batch computing, how to get help, data management and interactive computing. Each session offers 1 hour of instruction followed by a 30-minute Q&A. COMPLECS is supported by NSF award 2320934.

---
Mary P. Thomas
Computational Data Scientist, HPC Trainer, SDSC
Mary Thomas is a member of the Data Enabled Scientific Computing (DESC) division. Mary holds a Ph.D. in computational science, and M.S. degrees in computer science and physics. Her research interests include: HPC computing and training; coastal ocean modeling; cyberinfrastructure and emerging technologies, including Jupyter notebooks, interactive and cloud computing.