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SUMMARY:Parallelize Your R Code with a Single Tweak - Easier than Ever Bef
 ore - Henrik Bengtsson
DTSTART;TZID=Europe/Paris:20261125T120000
DTEND;TZID=Europe/Paris:20261125T123000
DTSTAMP:20260930T112507Z
UID:pretalx-compute-paris-2026-DGLAYS@pretalx.com
DESCRIPTION:Many users reach a point where analyses\, simulations\, or dat
 a pipelines take too long to run. Parallelization can help\, but tradition
 al approaches are often complex\, error-prone\, and hard to adapt across l
 aptops\, servers\, the cloud\, and high-performance compute (HPC) systems.
 \n\nThis talk introduces new capabilities of the **Futureverse ecosystem f
 or parallel and distributed processing in R**. It is a popular\, decade-ol
 d\, highly validated framework\, which recently has **reached a major mile
 stone**: the ability to **parallelize existing R code with a single _decla
 ration_**\, e.g.\n\n```\ny <- map(x\, slow_fcn) |> futurize()\ncv <- glmne
 t::cv.glmnet(x\, y) |> futurize()\n```\n\nThe presentation will show how t
 he `futurize()` pipe function\, which leverages powerful **on-the-fly tran
 spiler capabilities of R**\, can be used to parallelize familiar workflows
  while preserving the original structure of the code. It will also demonst
 rate how the same analysis can **scale** from a notebook to local\, remote
 \, or cloud-based compute resources **with little or no redesign**.\n\nThe
  session is aimed at researchers\, data scientists\, students\, and R prog
 rammers who want practical ways to speed up real-world code without becomi
 ng parallel-computing specialists\, as well as those interested in languag
 e design\, metaprogramming\, and parallel programming. Attendees will lear
 n where this approach works well\, which pitfalls to avoid\, and how the F
 utureverse ecosystem helps make parallel R more accessible\, scalable\, an
 d reproducible within minutes. The ultimate goal is to **lower the barrier
 s so that more R users can take advantage of compute resources within reac
 h**\, including HPC clusters\, but which historically required too high a 
 technical skill threshold.
LOCATION:Room 108
URL:https://pretalx.com/compute-paris-2026/talk/DGLAYS/
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