Linknation#JuliaHub perfectly imitates #republicans
#warning this is #fun #comedy using #irony she does not mean it X-D
#healthensurance is for #poor people
aoanlalinks->
Keynotes (recorded)
https://www.youtube.com/watch?v=c_3TLxjYd_o Tim Besard from JuliaHub on GPU programming in Julia
https://www.youtube.com/watch?v=hUxnLunOU4w Jeff Bezanson (Julia founder, JuliaHub) on advances in Static compilation in Julia [and taking on C++]
https://www.youtube.com/watch?v=EWWx-1Vx5AA Uwe Hernandez Acosta (Helmholtz-Zentrum Dresden-Rossendorf) on Julia (and why it is a fit for HEP)
https://indico.cern.ch/event/1410341/ <-- the JuliaHEP agenda with links to slides for each talk (which weren't recorded)
Julia GPU Programming
So, back from the 2nd annual JuliaHEP workshop, hosted at CERN.
It was good to see all the work that's being done already in High-Energy Physics using Julia, and I think we convinced a few more people of how useful and well-suited Julia is to the kind of performance and semantics we care about in HEP.
Also, Jeff Bezanson and Tim Besard's talks as JuliaHub reps on Static Compilation in Julia and GPU Programming in Julia were very insightful!
#julialang #juliahub #juliahep #hep #CERN
liinks->
gvdr 
Currently having the Malatesta server computing the #SVD decomposition of a 1822461 by 1822461 matrix.
Using #julialang KrylovKit.jl it works so smoothly it's magic.
For a few (<10) svd vals it runs so quickly. Pushing it to 100 now, let's see! (Main limit now is the server's RAM, which was never that big. Thinking to move to #JuliaHub for those juicy machines)
cormulliona familiar name on the front of this F1 car ποΈποΈποΈπ
Matt Bauman 
I'm putting together a #webinar for Thursday that goes through uploading, analyzing in #parallel #distributed #julialang, and plotting results from 390+ #parquet files in #JuliaHub.
I'll be doing lots of risky live demo things with ~50GB of #data β should be fun!
Sign up here: https://us02web.zoom.us/webinar/register/5816684248926/WN_17r8rzTGQVqfcrAVhKHsgw
Welcome! You are invited to join a webinar: Using Large Datasets in JuliaHub. After registering, you will receive a confirmation email about joining the webinar.
Thursday, December 1 1:00 - 2:00 PM ET (US) Do you or your organization deal with large datasets? Are you looking for a way to address the challenges of processing large datasets - both awkwardness of handling and lengthy processing times? Watch this webinar where we demonstrate how you can process multiple CSV files using DataFrames.jl in JuliaHub. In this Webinar we will demonstrate how to: Upload/import large datasets to JuliaHub Load and process those data in Julia Structure the analysis for parallel computing on JuliaHub Use JuliaHub to seamlessly run the computation on hundreds of cores Examine the cluster and the computation status as it runs Post-process the results in Julia JuliaHub is a modern cloud platform for distributed, cost-effective, and reproducible computing. optimized for Julia. About the Speaker Dr. Matt Bauman has been using Julia for 9 years, is a core contributor to the language, and works with large datasets across multiple domains from neural engineering to social data science. Before becoming the Director of Sales Engineering at JuliaHub, Matt earned his PhD in BioEngineering at the University of Pittsburgh and was a Fellow at the University of Chicagoβs Data Science for Social Good.
Sundar R 
#JuliaBeginners #JuliaLang #JuliaTipOfTheDayβ
2022-11-21
The search on the JuliaHub site (https://juliahub.com/ui/Search) is an incredible resource.
Came across a macro in a snippet of code, and need to know where the macro is from? Try searching for it via the Symbols tab, filtering by "definition" and "macro".
You can also search across the documentations of all registered packages, regex-search through public Julia code, etc.