Articles by JottR on R
%dofuture% – a Better foreach() Parallelization Operator than %dopar%
Edmonton R User Group Meetup: Futureverse – A Unifying Parallelization Framework in R for Everyone
parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more
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 framework. Here are the details. For other updates to
progressr, see NEWS.
[Read more...]
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 this blog post, I’ll try to explain
why using it is not always a good idea. ...
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 for my Futureverse: Profile Parallel Code talk that I presented at the useR! 2022 con...
parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments
parallelly 1.32.0: makeClusterPSOCK() Didn’t Work with Chinese and Korean Locales
progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel
parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers
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 some bug fixes. Below are the most important chang... [Read more...]
Future Improvements During 2021
parallelly 1.29.0: New Skills and Less Communication Latency on Linux
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 support for hand...
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 detail part, instead of the message part
In ad...
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, instead of sequential, setup strategy
The new freePort() can be used to...
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 1.25.0 is on CRAN. It comes with two major improvements:
You ca...
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 R on a
cluster of machines running in the cloud, specifically ...
future.BatchJobs – End-of-Life Announcement
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