Posts Tagged ‘ high-performance computing ’

New release with Batch processing

October 5, 2011
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This week we rolled out a new release at cloudnumbers.com which implements two new main features: cloudnumbers.com now supports Batch processing. Due to some changes in the architecture we were able to reduce our system requirements. In detail, we do not need that much open ports in your firewall. Please check our updated System Requirements

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Speed up recursion in R 600-fold with Rcpp

September 12, 2011
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Rcpp package co-author Dirk Eddelbuettel provides another case study in speeding up R code by rewriting repeatedly-called R code as inline C++ functions, using the classic Fibonacci recursion algorithm as an example. The speed gains here are impressive -- over 600x compared to native recursive R code -- but you could also improve performance by using a more efficient,...

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A simple example for writting parallel code

September 7, 2011
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A simple example for writting parallel code

Today, programmers have to deal with multi-core and multi-computer technologies. Several people claim that software developers are far behind hardware technologies. My two favorite posts for this statement are Editor’s Desk: Software Lags Behind Hardware, But That’s a Good Thing A Hacker’s Craic -Why is software so far behind hardware? Parallel computing is not that

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HPC news from the useR2011 conference

August 18, 2011
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It was an exciting useR2011 conference at the University of Warwick, Coventry, UK. Thanks a lot to the local organizing and program committee for having this great conference. I enjoyed the variety of talks, the poster session and the conference dinner and everything within walking distance. In view of HPC for R I learned: The

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High-Performance in Cloud Computing

August 11, 2011
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High-Performance in Cloud Computing

Very often scientists are worried about performance and security in cloud computing. Especially, when talking about High-Performance Computing (HPC) in the cloud it is a very important aspect to proof efficient calculation speed in the cloud. Cloud computing describes a new delivery model for IT services based on Internet protocols, and it typically involves provisioning

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With byte compiler, R 2.14 will be even faster

August 2, 2011
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In a presentation at the JSM 2011 conference in Miami yesterday, R core member Luke Tierney revealed that the next major update to R, R 2.14, will feature improved speed when processing interpreted R code, thanks to standard use of the new byte compiler feature. The byte compiler was introduced with R 2.13, but while R developers could use...

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Call for a Special Topic on Grid and Cloud Computing Methods in Biomedical Research

Today, the AG Statistical Computing released the “Call for a Special Topic on Grid and Cloud Computing” in the Journal “Methods of Information in Medicine”. We are inviting submissions for a special topic of Methods of Information in Medicine on “Grid and Cloud Computing Methods in Biomedical Research“. This special topic call originates from a

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In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

Today, cloud computing is used in many application areas from academic research to industry. Commercial cloud providers as Amazon Web Services (AWS) advertise the simple and fast access to cloud computing resources. Posts in different blogs proof that you can get your application running in the cloud, but it will cost you more than 15

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Benchmarking Revolution R for data mining

June 28, 2011
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Benchmarking Revolution R for data mining

The blog Heuristically Andrew puts Revolution R through its paces by running some benchmarks versus open-source R for data mining applications. The benchmarks set out to answer the following question: I recently upgraded my notebook (where I often use R for data mining) and was faced with two questions: for the fastest speed for building models, do I use...

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High Performance Computing in the Cloud with cloudnumbers.com

June 10, 2011
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Who we are cloudnumbers.com provides researchers and companies with the resources to perform high performance calculations in the cloud. We help our customers to fight epidemics, develop highly advanced drugs and manage financial risk. Our aim is to change the way research collaboration is done today by bringing together scientists and businesses from all over

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