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UID:3dd3a9d8-104f-4280-9ec4-c3961f60f6c9@support.access-ci.org
DTSTAMP:20240328T114624Z
DTSTART:20240418T180000Z
DTEND:20240418T193000Z
SUMMARY:COMPLECS: Interactive Computing
DESCRIPTION:Interactive computing refers to working with software that acce
 pts 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 ins
 tall. User inputs are entered via a command line interface (CLI) or applic
 ation GUI (e.g., Jupyter Notebooks, Matlab, RStudio). Actions are initiate
 d on remote compute nodes as a result of user inputs. This session will in
 troduce participants to advanced CI concepts and what's going on "under th
 e hood" when they are using interactive tools. Topics covered will include
  mechanisms for accessing interactive resources, commonalities and differe
 nces between batch and interactive computing, understanding the difference
 s between web-based services and X11/GUI applications, monitoring jobs run
 ning on interactive nodes, and an overview of Open OnDemand portals.Visit 
 SDSC's website for more upcoming training and events. --- What is COMPLE
 CS? - COMPLECS (COMPrehensive Learning for end-users to Effectively utiliz
 e CyberinfraStructure) is a new SDSC program where training will cover non
 -programming skills needed to effectively use supercomputers. Topics inclu
 de parallel computing concepts, Linux tools and bash scripting, security, 
 batch computing, how to get help, data management and interactive computin
 g. Each session offers 1 hour of instruction followed by a 30-minute Q&A. 
 COMPLECS is supported by NSF award 2320934.---Mary P. ThomasComputational 
 Data Scientist, HPC Trainer, SDSCMary Thomas is a member of the Data Enabl
 ed Scientific Computing (DESC) division. Mary holds a Ph.D. in computation
 al science, and M.S. degrees in computer science and physics. Her research
  interests include: HPC computing and training; coastal ocean modeling; cy
 berinfrastructure and emerging technologies, including Jupyter notebooks, 
 interactive and cloud computing.
URL:https://support.access-ci.org/events/7386
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