R performance optimization

[This article was first published on cloudnumbers.com » R-project, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The blog The Average Investor’s Blog » R posted a nice report about accelerating a default Debian R installation and added some details about his benchmarks in the comment section: In these posts loading optimized libraries gives a five-fold performance improvement. It would be great to get these performance improvements into relation to the benchmark results in the Heuristic Andrew blog: http://heuristically.wordpress.com/2011/06/27/benchmarking-r-revolution-r-and-hyperthreading-for-data-mining/ This post compared an R installation with and without HyperThreading with the Revolution R version. In this blog post Revolution R was about 37% faster than the default R installation. It still needs to be clarified whether we can achieve the same performance as Revolution R by very simple optimization of R installations? Cloudnumbers.com provides researchers and companies with the resources to perform high performance calculations in the cloud. Therefore, it is one of your main issues to provide applications with the best performance. We are currently testing different installation settings to provide you with the fastest R installation in the Cloud (keep on following our blog for more details). Benchmarking R performance is all the time a critical issue. Due to the diversity of R applications the performance depends on many features. Please post some comments about your favorite R benchmark. Register and test at cloudnumbers.com for free now!

To leave a comment for the author, please follow the link and comment on their blog: cloudnumbers.com » R-project.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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)