Source: Wiktionary.org I presented Progressr: An Inclusive, Unifying API for Progress Updates (15 minutes; 20 slides) at e-Rum 2020, on June 17, 2020: HTML (incremental Google Slides; requires online access) PDF (flat slides) Abstract Video - to be posted by the organizers I am grateful for everyone involved who made e-Rum 2020 possible. I cannot imagine having to cancel the on-site Milano conference that had planned for more than a year and then start over to re-organize and create a fabulous online experience for ~1,500 participants in such short notice.
Design: Dan LaBar I presented Future: Simple Async, Parallel & Distributed Processing in R Why and What’s New? at rstudio::conf 2020 in San Francisco, USA, on January 29, 2020. Below are the slides for my talk (17 slides; ~18+2 minutes): HTML (incremental Google Slides; requires online access) PDF (flat slides) Video with closed captions (official rstudio::conf recording) First of all, a big thank you goes out to Dan LaBar (@embiggenData) for proposing and contributing the original design of the future hex sticker.
Below are the slides for my Future: Simple Parallel and Distributed Processing in R that I presented at the useR! 2019 conference in Toulouse, France on July 9-12, 2019. My talk (25 slides; ~15+3 minutes): Title: Future: Simple Parallel and Distributed Processing in R HTML (incremental Google Slides; requires online access) PDF (flat slides) Video (official recording) I want to send out a big thank you to everyone making the useR!
A bit late but here are my slides on Future: Friendly Parallel Processing in R for Everyone that I presented at the satRday LA 2019 conference in Los Angeles, CA, USA on April 6, 2019. My talk (33 slides; ~45 minutes): Title: : Friendly Parallel and Distributed Processing in R for Everyone HTML (incremental slides; requires online access) PDF (flat slides) Video (44 min; YouTube; sorry, different page numbers) Thank you all for making this a stellar satRday event.
Below are links to my slides from my talk on Future: Friendly Parallel Processing in R for Everyone that I presented last month at the satRday Paris 2019 conference in Paris, France (February 23, 2019). My talk (32 slides; ~40 minutes): Title: Future: Friendly Parallel Processing in R for Everyone HTML (incremental slides; requires online access) PDF (flat slides) A big shout out to the organizers, all the volunteers, and everyone else for making it a great satRday.
As promised - though a bit delayed - below are links to my slides and the video of my talk on Future: Parallel & Distributed Processing in R for Everyone that I presented last month at the eRum 2018 conference in Budapest, Hungary (May 14-16, 2018). The conference was very well organized (thank you everyone involved) with a great lineup of several brilliant workshop sessions, talks, and poster presentations (thanks all).
A new version of the future package has been released and is available on CRAN. With futures, it is easy to write R code once, which later the user can choose to parallelize using whatever resources s/he has available, e.g. a local machine, a set of local notebooks, a set of remote machines, or a high-end compute cluster. The future provides comfortable and friendly long-distance interactions. The new version, future 1.
Unless you count DSC 2003 in Vienna, last week’s useR conference at Stanford was my very first time at useR. It was a great event, it was awesome to meet our lovely and vibrant R community in real life, which we otherwise only get know from online interactions, and of course it was very nice to meet old friends and make new ones. The future is promising. At the end of the second day, I presented A Future for R (18 min talk; slides below) on how you can use the future package for asynchronous (parallel and distributed) processing using a single unified API regardless of what backend you have available, e.