Crowd sourced benchmarks

December 1, 2015
By

(This article was first published on Why? » R, and kindly contributed to R-bloggers)

When discussing how to speed up slow R code, my first question is what is your computer spec? It always surprises me when complex biological experiments, costing a significant amount of money, are analysed using a six year old laptop. A new desktop machine costs around £1000 and that money would be saved within a month in user time. Typically the more the RAM you have, the larger the dataset you can handle. However it’s not so obvious of the benefit of upgrading the processor.

To quantify the impact of the CPU on an analysis, I’ve create a simple benchmarking package. The aim of this package is to provide a set of benchmarks routines and data from past runs. You can then compare your machine, with other CPUs. The package currently isn’t on CRAN, but you can install it via my drat repository


install.packages("drat")
drat::addRepo("csgillespie")
install.packages("benchmarkme")

You can load the package in the usual way, and view past results via


library("benchmarkme")
plot_past()

to get

Timings1

Currently around forty machines have been benchmarked. To benchmark and compare your own system just run


## On slower machines, reduce runs.
res = benchmark_std(runs=3)
plot(res)

gives

my_benchmark

The final step is to upload your benchmarks


## You can control exactly what is uploaded. See the help page
upload_results(res)

The current record is held by a Intel(R) Core(TM) i7-4712MQ CPU.

To leave a comment for the author, please follow the link and comment on their blog: Why? » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)