--- title: useR! 2026: Futurize – Tearing Down Parallelization... description: Henrik Bengtsson presented a talk at the useR! 2026 conference in Warsaw, Poland, introducing the new futurize package, part of the futureverse ecosystem. The... canonical: https://daily.dev/posts/user-2026-futurize-tearing-down-parallelization-barriers-in-r-with-transpilers-gtapwq8y8 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers | daily.dev og:description: Henrik Bengtsson presented a talk at the useR! 2026 conference in Warsaw, Poland, introducing the new futurize package, part of the futureverse ecosystem. The... og:url: https://daily.dev/posts/user-2026-futurize-tearing-down-parallelization-barriers-in-r-with-transpilers-gtapwq8y8 og:image: https://api.daily.dev/og/posts/gTApWq8y8.png og:image:alt: useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers **[R-bloggers](https://daily.dev/sources/rbloggers)** · 2 min read · 0 upvotes · 0 comments ## Summary Henrik Bengtsson presented a talk at the useR! 2026 conference in Warsaw, Poland, introducing the new futurize package, part of the futureverse ecosystem. The package lets R users parallelize existing map-reduce style calls (lapply, purrr::map, foreach, plyr::llply) simply by piping them to futurize(), and it also supports domain-specific functions like stats::kernapply, boot, caret::train, glmnet::cv.glmnet, and lme4::allFit. Slides (16 slides, 18 minutes) are linked, with video to appear. The post also notes next year's useR! conference will be held in Santiago, Chile in July 2027. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How do I parallelize an lapply call in R without rewriting it as a future_lapply call? Pipe the existing call to the futurize() function from the new futurize package. For example, ys <- lapply(xs, fit_model) |> futurize() parallelizes the call automatically. The same pattern works for purrr::map, foreach %do%, and plyr::llply calls, requiring no rewrite of the underlying logic. _Developers weighing parallelization approaches in R can follow futureverse updates like this on daily.dev._ ### Which R modeling functions can be parallelized with the futurize package? The futurize package supports domain-specific calls beyond basic map-reduce functions, including stats::kernapply, boot::boot, caret::train, glmnet::cv.glmnet, and lme4::allFit. Each can be parallelized simply by piping the call to futurize(), for example model <- caret::train(Species ~ ., data = iris, method = "rf", trControl = ctrl) |> futurize(). _Anyone speeding up R model training workflows can track futurize package updates on daily.dev._ ## Similar posts on daily.dev - [A world still to be mapped: reflections on geocomputation in R: takeaways from the talk and workshop at UseR\! 2026](https://daily.dev/posts/a-world-still-to-be-mapped-reflections-on-geocomputation-in-r-takeaways-from-the-talk-and-workshop-xsebo6zbi) · R-bloggers · 0 upvotes · 0 comments - [Pure Virtual C\+\+ 2026 \[Meet the Speakers, Part 3\]: Modernizing C\+\+](https://daily.dev/posts/pure-virtual-c-2026-meet-the-speakers-part-3-modernizing-c--ismgfibyx) · DevBlogs · 12 upvotes · 0 comments - [LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R](https://daily.dev/posts/latinr-2025-future-p2p-peer-to-peer-compute-clusters-in-r-lpg9rgqjs) · R-bloggers · 0 upvotes · 0 comments - [Scalar 2026: Celebrating Functional Programming Fiesta](https://daily.dev/posts/scalar-2026-celebrating-functional-programming-fiesta-wcetkdfrl) · SoftwareMill · 0 upvotes · 0 comments - [Graceful Internet Packages](https://daily.dev/posts/graceful-internet-packages-3zmkz0y4y) · R-bloggers · 0 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#r](https://daily.dev/tags/r) [View this post on daily.dev](https://daily.dev/posts/user-2026-futurize-tearing-down-parallelization-barriers-in-r-with-transpilers-gtapwq8y8) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers","url":"https://daily.dev/posts/user-2026-futurize-tearing-down-parallelization-barriers-in-r-with-transpilers-gtapwq8y8","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/user-2026-futurize-tearing-down-parallelization-barriers-in-r-with-transpilers-gtapwq8y8"},"datePublished":"2026-08-20T15:09:29.413Z","dateModified":"2026-08-20T15:09:52.347Z","description":"Henrik Bengtsson presented a talk at the useR! 2026 conference in Warsaw, Poland, introducing the new futurize package, part of the futureverse ecosystem. 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