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UID:9f3dfb25-b410-49cb-89bd-fb9d4a87e303@support.access-ci.org
DTSTAMP:20250606T115540Z
DTSTART:20250904T180000Z
DTEND:20250904T193000Z
SUMMARY:COMPLECS: Linux Tools for Text Processing
DESCRIPTION:SummaryMany computational and data processing workloads require
  pre-processing input files to get the data into a format compatible with 
 the user’s application and/or post-processing output files to extract ke
 y results for further analysis. While these operations could be done by ha
 nd, they tend to be time-consuming, tedious, and, worst of all, error-pron
 e. In this session, we cover the Linux tools awk, sed, grep, sort, head, t
 ail, cut, paste, cat, and split, which will help users to automate repetit
 ive tasks easily. We conclude by showing how large language models (LLMs) 
 such as ChatGPT could be used to write commands using these tools.Instruct
 orRobert Sinkovits, Ph.D., is a senior computational scientist at the San 
 Diego Supercomputer Center. He is currently the co-PI and project manager 
 for Expanse, SDSC’s nationally allocated supercomputer. He has collabora
 ted with researchers spanning many fields, including physics, chemistry, a
 stronomy, structural biology, ecology, finance, immunology, and the social
  sciences, always with an emphasis on parallel scalability and maximizing 
 application performance. Robert previously served as Director of Education
  and Training and launched SDSC’s COMPLECS project, which emphasizes the
  skills beyond programming that are needed to make effective use of advanc
 ed cyberinfrastructure.See a full list of SDSC's upcoming training and eve
 nts here.--- COMPLECS (COMPrehensive Learning for end-users to Effectivel
 y utilize CyberinfraStructure) is a new SDSC program where training will c
 over non-programming skills needed to effectively use supercomputers. Topi
 cs include parallel computing concepts, Linux tools and bash scripting, se
 curity, batch computing, how to get help, data management and interactive 
 computing. Each session offers 1 hour of instruction followed by a 30-minu
 te Q&A. COMPLECS is supported by NSF award 2320934.
URL:https://support.access-ci.org/events/8042
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