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Getting Started with the R Language – Part 1

Comparing “R” to other languages – and looking at syntax.

First introduced two decades ago, the R language has been gaining popularity for data-intensive functions. Slashdot Media Contributing Editor Rick Leinecker gives us an intro to “R” in two parts.

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Doing Encryption with Intel Fortran

Hands-on example of encrypting for the scientific and math community

In this blog, Slashdot Media Contributing Editor David Bolton takes coding pen in hand and translates a popular C language encryption routine into Fortran

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Using Intel Math Kernel Library: Random Number Generators

Practical application of the Intel MKL to get random All random number generators are not created equal, and having tools like the Intel Math Kernel Library makes a big difference, as demonstrated by Slashdot Media Contributing Editor David Bolton Random Number Generation with Intel MKL Not all random number generators …

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Introduction to Parallel Algorithms

Using multiple cores to break a problem into pieces for faster execution With the demand for ever-faster code falling on developers’ shoulders, Slashdot Media Contributing Editor Rick Leinecker looks at how best to parallelize for performance Introduction to Parallel Algorithms Rick Leinecker, July 2016 This blog marks the beginning of …

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Hands On with Intel DAAL Part 2: Can Uber Learn from London Taxi Data?

Data Science, Big Data and Machine Learning applied to London’s famous Taxi fleet In the first part of this series, Slashdot Media Contributing Editor David Bolton discussed collection of data from London Taxis to determine if scheduling can be improved. In Part two, he shows us how to use the …

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Basics of Parallelization – Part One

Basic tricks for parallelization code to take advantage of multiple cores and processors In today’s multicore systems, many programmers are leaving performance on the table. This multipart series shows how to get the most out of your hardware with multithreading and vectorization. Read on to see how Slashdot Media Contributing …

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Hands-On Workshop Shows How To Modernize Code for Todays Systems

Webinar series focuses on adapting code to take advantage of latest Intel architectures Is your code taking advantage of all the feature of Intel Xeon and Knights Landing (Xeon Phi) processors? Ten 2-hour sessions presented by Colfax Research give you a hands-on experience, in this webinar series led by Colfax …

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Using Data Analysis Acceleration Library (DAAL) to Speed Taxi Scheduling

Part 1 of 2 – Collecting data from London’s famed Taxis to optimize routes Is “the Knowledge” enough to keep London taxis on track? In the first part of this two part series, Slashdot Media Contributing Editor David Bolton looks at London’s famous taxis, and collects data from the taxi …

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Parallel Python – Making Code Run 2000x Faster

“Embarrassingly Parallel” code acceleration with Intel Python, OpenMP and Cython In this video, Slashdot Media Contributing Editor David Bolton shows how ‘embarrassingly parallel’ code such as calculating by can be sped up over 2000x (not percent) by utilizing Intel tools including the Intel Python compiler and OpenMP    

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Using Dask Library in Intel Python

Working with a parallel library for analytics and integrating with TBB There is no shortage of analytics tools, especially for Python. In this hands-on blog, Slashdot Media Contributing Editor David Bolton looks at Dask, which provides a rich set of parallelization tools that work well with Intel’s Threaded Building Block …

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