1130 search results for "parallel"

text2vec implementation details. Writing fast parallel asynchronous SGD/AdaGrad.

January 8, 2016
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Before reading this post, I very recommend to read: Orignal GloVe paper Jon Gauthier’s post, which provides detailed explanation of python implementation. This post helps me a lot with C++ implementation. Word embedding After Tomas Mikolov et al. released word2vec tool, there was a boom of articles about words vector representations. One of the greatest is GloVe,...

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Edge cases in using the Intel MKL and parallel programming

October 26, 2015
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Edge cases in using the Intel MKL and parallel programming

by Andrie de Vries Recently we had a question on the public mailing list for Revolution R Open (RRO), on the topic of "MKL multithreaded library and mclapply do not play well together". If you're not familiar with these topics, here is a quick primer: The Intel MKL is a fast, multi-threaded math library. We bundle the MKL with...

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parallelsugar: An implementation of mclapply for Windows

October 14, 2015
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An easy way to run R code in parallel on a multicore system is with the mclapply() function. Unfortunately, mclapply() does not work on Windows machines because the mclapply() implementation relies on forking and Windows does not support forking. Previously, I published a hackish solution that implemented a fake mclapply() for Windows users with one

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Simulating backtests of stock returns using Monte-Carlo and snowfall in parallel

September 23, 2015
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Simulating backtests of stock returns using Monte-Carlo and snowfall in parallel

You could say that the following post is an answer/comment/addition to Quintuitive, though I would consider it as a small introduction to parallel computing with snowfall using the thoughts of Quintuitive as an example. A quick recap: Say you create a model that is able to forecast 60% of market directions (that is, in 6

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Simulating backtests of stock returns using Monte-Carlo and snowfall in parallel

September 23, 2015
By
Simulating backtests of stock returns using Monte-Carlo and snowfall in parallel

You could say that the following post is an answer/comment/addition to Quintuitive, though I would consider it as a small introduction to parallel computing with snowfall using the thoughts of Quintuitive as an example. A quick recap: Say you create a model that is able to forecast 60% of market directions (that is, in 6

Read more »

Parallel Computing for Data Science

July 8, 2015
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Hot off the press, Norman Matloff's book, Parallel Computing for Data Science: With Examples in R, C++ and CUDA  (Chapman and Hall/ CRC Press, 2015) should appeal to a lot of the readers of this blog.The book's coverage is clear from the following chapter titles:1. Introduction to Parallel Processing in R2. Performance Issues: General3. Principles of Parallel...

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R-devel in parallel to regular R installation

July 1, 2015
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R-devel in parallel to regular R installation

Unfortunately, you need both: R-devel (development version of R) if you want to submit your packages to CRAN, and regular R for your research (you don’t want the unstable release for that). Fortunately, installing R-devel in parallel is less trouble than one might think. Say, we want to install R-devel into a directory called ~/R-devel/,

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R-devel in parallel to regular R installation

July 1, 2015
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R-devel in parallel to regular R installation

Unfortunately, you need both: R-devel (development version of R) if you want to submit your packages to CRAN, and regular R for your research (you don’t want the unstable release for that). Fortunately, installing R-devel in parallel is less trouble than one might think. Say, we want to install R-devel into a directory called ~/R-devel/,

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Parallel and a new laptop

June 14, 2015
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Parallel and a new laptop

I am thinking about a new laptop. For one thing a 1366*768 resolution just seems to get impractically small. Secondly, faster comutations, more memory.Regarding CPU speed, my current laptop has a lowly Celeron 877. From what I see at my computers activ...

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Fast parallel computing with Intel Phi coprocessors

May 19, 2015
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Fast parallel computing with Intel Phi coprocessors

by Andrew Ekstrom Recovering physicist, applied mathematician and graduate student in applied Stats and systems engineering We know that R is a great system for performing statistical analysis. The price is quite nice too ;-) . As a graduate student, I need a cheap replacement for Matlab and/or Maple. Well, R can do that too. I’m running a large...

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