The 17th ADAC Symposium & Workshop is taking place in Finland 🇫🇮 this week. JSC is contributing to the agenda on #Quantum and #Exascale Computing with two talks on our job analysis tool LLview and the JUPITER supercomputer ⚡ ⚡ ⚡, which will be inaugurated this Friday at JSC!
Meet our experts at #ISC25
Filipe Guimarães is part of the Application Support division at JSC and one of the developers and maintainers of LLview. He presents the work done in LLview and its integration into the JSC support structure at booth Z02 & at 6th ISC HPC MODA Workshop.
LLview is an open source HPC monitoring tool used in all production systems at JSC. It provides an overview of the system and all jobs running on it, including detailed job reports.
💡app.swapcard.com/widget/even…@fz_juelich#isc24
Meet our experts at #ISC24
Filipe is part of the Application Support team at JSC and is one of the developers & maintainers of LLview. He will present his work “Mastering HPC Monitoring Data: From Zero to Hero with LLview” during the research poster pitch and the poster reception
New announcement: LLview, the monitoring tool that we develop and use on all our #HPC systems at Jülich Supercomputing Centre @fz_juelich, is now public and open source! 🥳
Check it out here:
github.com/FZJ-JSC/LLview/
Many thanks to: @filipesmg and Wolfgang Frings
LLview got a major update, with a new interface and many new features! 🥳 It is already available for all of our users! More information and access can be found in the documentation: apps.fz-juelich.de/jsc/llvie…
ALT Collage of different screenshots of LLview, JSC's HPC job scheduler monitoring tool, including detailed job reports.
Do not miss the amazing RISC2 webinar featuring my @fzj_jsc colleagues Vitor and Filipe presenting how The JSC tool LLview can be used to monitor HPC clusters and applications! #RISC2#Webinar#LLview
📢 HPC job-reporting @fzj_jsc !
Monitor load, memory consumption, GPU and I/O utilization automatically and in near-real-time for your jobs.
New features available, including zoom and download data.
No application instrumentation. No overhead.
go.fzj.de/jobreporting#LLview#HPC
ResearchGate: Great Work Morris! Article reached 100 reads: LLview: User-level monitoring in computational grids & e-Science infrastructures - Still used today in #HPC@DEEPprojects@fzj_jsc@fz_juelich @Haskoli_Islands @uisens @helmholtz_ai
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text(pdf): buff.ly/2Gl6iWw
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Did you already tried the #LLview#HPC jobreporting @fzj_jsc?
Monitor load, memory consumption, GPU and I/O utilization automatically and in near-real-time for all of your jobs.
Web overview and PDF reports.
No application instrumentation. No overhead.
fz-juelich.de/ias/jsc/EN/Exp…