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High-Performance Computing in R

  • The meeting will take place on the 7th floor in a room provided by Level7.


    R is an incredibly rich and powerful language for exploratory data analysis and scientific computing. But, often mistakenly, R is not considered a good language for high-performance computing. In fact the language provides a remarkably comprehensive set of tools for high-performance computation. 
    We'll discuss tips and tricks for writing R code for high-performance computation, including: 

    - Using fast low-level numeric libraries 
    - Writing vectorized code 
    - Working with data larger than memory 
    - Parallel processing with 'parallel,' 'foreach,' and others 
    - Using the right algorithms

    We'll focus on practical computation and show examples of fast large-scale principal components and generalized linear models among others. Feel free to come with questions about performance! 

    Bryan Lewis has worked with R for many years and is the author of several R packages including irlba, rredis, doRedis, websockets, bigalgebra, scidb, and others. He is the chief data scientist at Paradigm4 in Waltham, MA and has a Ph.D. in applied mathematics.


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  • Mukul M.

    Great presentation on Tips and Tricks in R

    August 8, 2013

  • Jim P.

    Speaker was excellent and had a very good knowledge of high performance computing in R.

    August 7, 2013

  • Peter P.

    great speaker!

    August 7, 2013

  • A former member
    A former member

    Would very much like to be there, but car trouble prevails...

    August 7, 2013

  • Mark M.

    I am new but interested in R with Hadoop

    July 26, 2013

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