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UID:b0672eda-2350-41a2-b7d3-5bb9195d745e@support.access-ci.org
DTSTAMP:20250102T133028Z
DTSTART:20250220T190000Z
DTEND:20250220T203000Z
SUMMARY:COMPLECS: Linux Tools for Text Processing
DESCRIPTION:Many computational and data processing workloads require pre-pr
 ocessing of input files to get the data into a format that is compatible w
 ith the user’s application and/or post-processing of output files to ext
 ract key results for further analysis. While these operations could be don
 e by hand, they tend to be time-consuming, tedious and, worst of all, erro
 r prone. In this session we cover the Linux tools awk, sed, grep, sort, he
 ad, tail, cut, paste, cat and split, which will help users to easily autom
 ate repetitive tasks. We conclude by showing how large language models (LL
 Ms) such as ChatGPT could be used to write commands using these tools.Inst
 ructorRobert Sinkovits, Director of Education and Training, SDSCDr. Sinkov
 its leads the education and training efforts at the San Diego Supercompute
 r Center, where he has been a computational scientist for more than 25 yea
 rs. He has collaborated with researchers spanning many fields including ph
 ysics, chemistry, astronomy, structural biology, finance, ecology, climate
 , immunology, and the social sciences, always with an emphasis on making t
 he most effective use of high-performance computing resources. Dr. Sinkovi
 ts is the PI for the COMPLECS CyberTraining project and co-PI for the Voya
 ger and Expanse supercomputer awards.See a full list of SDSC's upcoming tr
 aining and events here.COMPLECS (COMPrehensive Learning for end-users to E
 ffectively utilize CyberinfraStructure) is a new SDSC program where traini
 ng will cover non-programming skills needed to effectively use supercomput
 ers. Topics include parallel computing concepts, Linux tools and bash scri
 pting, security, batch computing, how to get help, data management and int
 eractive computing. Each session offers 1 hour of instruction followed by 
 a 30-minute Q&A. COMPLECS is supported by NSF award 2320934.
URL:https://support.access-ci.org/events/7719
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