Blog Archives

future 1.9.0 – Output from The Future

July 22, 2018
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future 1.9.0 – Output from The Future

future 1.9.0 - Unified Parallel and Distributed Processing in R for Everyone - is on CRAN. This is a milestone release: Standard output is now relayed from futures back to the master R session - regardless of where the futures are processed! Disclaimer: A future’s output is relayed only after it is resolved and when its value is retrieved by the...

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R.devices – Into the Void

July 20, 2018
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R.devices – Into the Void

R.devices 2.16.0 - Unified Handling of Graphics Devices - is on CRAN. With this release, you can now easily suppress unwanted graphics, e.g. graphics produced by one of those do-everything-in-one-call functions that we all bump into once in a while. To suppress graphics, the R.devices package provides graphics device nulldev(), and function suppressGraphics(), which both send any...

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future.apply – Parallelize Any Base R Apply Function

June 22, 2018
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future.apply – Parallelize Any Base R Apply Function

Got compute? future.apply 1.0.0 - Apply Function to Elements in Parallel using Futures - is on CRAN. With this milestone release, all* base R apply functions now have corresponding futurized implementations. This makes it easier than ever before to parallelize your existing apply(), lapply(), mapply(), … code - just prepend future_ to an apply call that takes a...

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Delayed Future(Slides from eRum 2018)

June 17, 2018
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Delayed Future(Slides from eRum 2018)

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, 2...

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future 1.8.0: Preparing for a Shiny Future

April 11, 2018
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future 1.8.0: Preparing for a Shiny Future

future 1.8.0 is available on CRAN. This release lays the foundation for being able to capture outputs from futures, perform automated timing and memory benchmarking (profiling) on futures, and more. These features are not yet available out of the b...

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Performance: Avoid Coercing Indices To Doubles

April 1, 2018
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Performance: Avoid Coercing Indices To Doubles

x or x? That is the question. Assume that we have a vector $x$ of $n = 100,000$ random values, e.g. __ n x idxs y y typeof(idxs) "integer" __ typeof(idxs + 1) "double" __ typeof(1) "double" Note also that doubles (aka “numerics” in R) take up twice the amount of memory: __ object.size(idxs) 400040 bytes __...

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Startup with Secrets – A Poor Man’s Approach

March 29, 2018
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Startup with Secrets – A Poor Man’s Approach

New release: startup 0.10.0 is now on CRAN. If your R startup files (.Renviron and .Rprofile) get long and windy, or if you want to make parts of them public and other parts private, then you can use the startup package to split them up in separate files and directories under .Renviron.d/ and .Rprofile.d/. For instance, the .Rprofile.d/repos.R file...

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The Many-Faced Future

June 4, 2017
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The Many-Faced Future

The future package defines the Future API, which is a unified, generic, friendly API for parallel processing. The Future API follows the principle of write code once and run anywhere - the developer chooses what to parallelize and the user how and where. The nature of a future is such that it lends itself to be used with several...

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