Author: JottR
progressr 0.13.0: cli + progressr = ♥
progressr 0.13.0 is on CRAN. In the recent releases, progressr gained support for using cli to generate progress bars. Vice versa, cli can now report on progress via the progressr...continue reading.
Please Avoid detectCores() in your R Packages
The detectCores() function of the parallel package is probably one of the most used functions when it comes to setting the number of parallel workers to use in R. In...continue reading.
useR! 2022: My ‘Futureverse: Profile Parallel Code’ Slides
Figure 1: A time chart of logged events for two futures resolved by two parallel workers. This is a screenshot of Slide #18 in my talk. Below are the slides...continue reading.
future 1.24.0: Forwarding RNG State also for Stand-Alone Futures
future 1.24.0 is on CRAN. It comes with one significant update related to random number generation, further deprecation of legacy future strategies, a slight improvement to plan() and tweaks(), and...continue reading.
matrixStats: Consistent Support for Name Attributes via GSoC Project
Author: Angelina Panagopoulou, GSoC student developer, undergraduate in the Department of Informatics & Telecommunications (DIT), University of Athens, Greece We are glad to announce recent CRAN releases of matrixStats with...continue reading.
progressr 0.8.0: RStudio’s progress bar, Shiny progress updates, and absolute progress
progressr 0.8.0 is on CRAN. It comes with some new features: A new ‘rstudio’ handler that reports on progress via the RStudio job interface in RStudio withProgressShiny() now updates the...continue reading.
parallelly 1.26.0: Fast, concurrent setup of parallel workers (finally)
parallelly 1.26.0 is on CRAN. It comes with one major improvement and one new function: The setup of parallel workers is now much faster, which comes from using a concurrent,...continue reading.
parallelly 1.25.0: availableCores(omit=n) and, finally, built-in SSH support for MS Windows 10 users
A piece of an ice core – more pleasing to look at than yet another illustration of a CPU core (Image credit: Ludovic Brucker, NASA’s Goddard Space Flight Center) parallelly...continue reading.
Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud
This is a guest post by Chris Paciorek, Department of Statistics, University of California at Berkeley. In this post, I’ll demonstrate that you can easily use the future package in...continue reading.
