What do you get?

> plan(future.batchtools::batchtools_slurm)
> f <- future(42)
> f$config$reg$status
> f$config$reg$status # need to call it a few times

Thank you all for an amazing #user2025 conference!

At my useR! 2016 talk on #future I had a wish for a P2P #parallel processing in #RStats. Nine years later, I presented

#Futureverse P2P: Peer-to-Peer Parallelization in R

at #useR2025 (www.futureverse.org/talks.html)

photo by @schloerke.com

Should sleep or binge watch Back to #Future?

#rstats

Boarding a red eye for #useR2025. Looking forward to meeting everyone

The future package turns ten today 🥳 To celebrate, I’ll start a blog series covering recent improvements that set us up for new, exciting ways for writing concurrent #RStats - neater than what our trusty workhorses future.apply & furrr offer

www.jottr.org/2025/06/19/f...

#parallel #futureverse

Liberating the future!

Major progress to #Futureverse - new, exciting, frequently-requested features. RC 1 of 'future' package is now available as:

install.packages("future", repos = c("https://futureverse.r-universe.dev", "https://cloud.r-project.org'))

Please give it a try🙏

#rstats #parallel

Excellent and unexpected news 🥳 #pebble

Please don't write software that hijacks all CPU cores by default. Here's a shared compute server with 48 cores where the #java, #python and #MATLAB processes defaults to using all the cores, bringing this machine to a full stall. The users are not to be blamed here

#Linux #parallel #rstats