2025

June

• Setting Future Plans in R Functions — and Why You Probably Shouldn't
• Future Got Better at Finding Global Variables
• Futureverse – Ten-Year Anniversary

2023

July

• parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely

June

• %dofuture% - a Better foreach() Parallelization Operator than %dopar%

May

• Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone

January

• parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more
• progressr 0.13.0: cli + progressr = ♥

2022

December

• Please Avoid detectCores() in your R Packages

June

• useR! 2022: My 'Futureverse: Profile Parallel Code' Slides
• 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

April

• parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers

February

• future 1.24.0: Forwarding RNG State also for Stand-Alone Futures

January

• Future Improvements During 2021

2021

November

• parallelly 1.29.0: New Skills and Less Communication Latency on Linux

August

• matrixStats: Consistent Support for Name Attributes via GSoC Project

June

• progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress
• parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally)

April

• parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users
• Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud

January

• future.BatchJobs - End-of-Life Announcement

2020

December

• My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020

November

• NYC R Meetup: Slides on Future
• future 1.20.1 - The Future Just Got a Bit Brighter
• parallelly, future - Cleaning Up Around the House
• Trust the Future

September

• future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing
• Detect When the Random Number Generator Was Used

July

• future and future.apply - Some Recent Improvements
• e-Rum 2020 Slides on Progressr

February

• rstudio::conf 2020 Slides on Futures

2019

November

• future 1.15.0 - Lazy Futures are Now Launched if Queried

July

• useR! 2019 Slides on Futures

May

• startup - run R startup files once per hour, day, week, ...
• SatRday LA 2019 Slides on Futures

March

• SatRday Paris 2019 Slides on Futures

January

• Parallelize a For-Loop by Rewriting it as an Lapply Call
• Maintenance Updates of Future Backends and doFuture

2018

July

• future 1.9.0 - Output from The Future
• R.devices - Into the Void

June

• future.apply - Parallelize Any Base R Apply Function
• Delayed Future(Slides from eRum 2018)

April

• future 1.8.0: Preparing for a Shiny Future
• Performance: Avoid Coercing Indices To Doubles

March

• Startup with Secrets - A Poor Man's Approach

2017

June

• The Many-Faced Future

April

• The R-help Community was Started on This Day 20 Years Ago

March

• doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages

February

• future 1.3.0: Reproducible RNGs, future_lapply() and More

2016

December

• Start Me Up

October

• High-Performance Compute in R Using Futures
• Remote Processing Using Futures

July

• A Future for R: Slides from useR 2016

2015

December

• matrixStats: Optimized Subsetted Matrix Calculations

August

• Milestone: 7000 Packages on CRAN

June

• Performance: Calling R_CheckUserInterrupt() Every 256 Iteration is Actually Faster than Every 1,000,000 Iteration

March

• To Students: matrixStats for Google Summer of Code

February

• How to: Package Vignettes in Plain LaTeX

January

• Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors)

2014

October

• Milestone: 6000 Packages on CRAN

June

• Pitfall: Did You Really Mean to Use matrix(nrow, ncol)?

May

• Performance: captureOutput() is Much Faster than capture.output()

2013

May

• Speed Trick: Assigning Large Object NULL is Much Faster than using rm()!

April

• This Day in History (1997-04-01)

January

• Speed Trick: unlist(..., use.names=FALSE) is Heaps Faster!

2012

October

• Force R Help HTML Server to Always Use the Same URL Port

September

• Set Package Repositories at Startup