1086 search results for "parallel"

Writing fast asynchronous SGD/AdaGrad with RcppParallel

January 23, 2016
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Writing fast asynchronous SGD/AdaGrad with RcppParallel

Word embeddings After Tomas Mikolov et al. released word2vec tool, there was a boom of articles about words vector representations. One of the greatest is GloVe, which did a big thing by explaining how such algorithms work. It also refolmulates word2vec optimization as a special kind of factoriazation for word cooccurences matrix. This post is devided into two main...

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Writing fast asynchronous SGD/AdaGrad with RcppParallel

January 23, 2016
By
Writing fast asynchronous SGD/AdaGrad with RcppParallel

Word embeddings After Tomas Mikolov et al. released word2vec tool, there was a boom of articles about words vector representations. One of the greatest is GloVe, which did a big thing by explaining how such algorithms work. It also refolmulates word2vec optimization as a special kind of factoriazation for word cooccurences matrix. This post is devided into two main...

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A gentle introduction to parallel computing in R

January 19, 2016
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A gentle introduction to parallel computing in R

by John Mount Ph.D. Data Scientist at Win-Vector LLC Let's talk about the use and benefits of parallel computation in R. IBM's Blue Gene/P massively parallel supercomputer (Wikipedia). Parallel computing is a type of computation in which many calculations are carried out simultaneously." Wikipedia quoting: Gottlieb, Allan; Almasi, George S. (1989). Highly parallel computing The reason we care is:...

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A gentle introduction to parallel computing in R

January 18, 2016
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A gentle introduction to parallel computing in R

Let’s talk about the use and benefits of parallel computation in R. IBM’s Blue Gene/P massively parallel supercomputer (Wikipedia). Parallel computing is a type of computation in which many calculations are carried out simultaneously.” Wikipedia quoting: Gottlieb, Allan; Almasi, George S. (1989). Highly parallel computing The reason we care is: by making the computer work … Continue reading...

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RcppParallel: Getting R and C++ to work (some more) in parallel

January 15, 2016
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RcppParallel: Getting R and C++ to work (some more) in parallel

(Post by Dirk Eddelbuettel and JJ Allaire) A common theme over the last few decades was that we could afford to simply sit back and let computer (hardware) engineers take care of increases in computing speed thanks to Moore’s law. That same line of thought now frequently points out that we are getting closer and closer

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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 »

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