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Making Sense of Parallel Sorts

Sorting is a common procedure in computer science. I spend a week teaching the most common sort of algorithms to my computer science class. I could spend an entire semester teaching all of the sorts in existence since there are so many. But in most situations, there are six common …

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Which is Better: Parallelization or Vectorization?

Parallelization or Vectorization? It’s a slightly odd question, as ideally you would want both. But sometimes, you have to make a choice. Parallelization is where your application uses background threads to do the heavy lifting. Vectorization is where the special vector registers that are typically 128 or 256 bits long …

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Modernizing Code for Tomorrow’s HPC Problem Solving

Code modernization–and the development of future software–must meet the changing demands of an economy that’s increasingly based on combining modeling, simulation, and virtual prototyping with large volumes of unstructured data and the Internet. This article shares tips on code modernization that are proven valuable for dedicated HPC software developers, domain …

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When Performance Tuning an App, Do You Have the Right Tools?

To fully utilize today’s hardware, you must modernize your software using software development tools and libraries. This article in the newest Intel Parallel Universe Magazine recommends a methodology for getting the most performance out of your hardware though threading, vectorization, your memory hierarchy, and the tuning of cross-node parallelism using …

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Using Intel Trace Analyzer and Collector to Tune MPI

Most of my blogs here at Go Parallel are about parallelization. This includes techniques of employing multiple cores and processors, and taking advantage of processor vectorization. Parallelization is not new; the well-publicized case of Big Blue beating Kasparov in 1997 using parallelization among other techniques underscores its longevity. Since so …

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A New Tool for Vectorization Advice

This article in the newest Intel Parallel Universe Magazine demonstrates how to use the Intel Advisor XE tool on real code examples to optimize vector codes. Intel Advisor XE combines dynamic analysis, static binary analysis and compiler reports with recommendations for fixing performance bottlenecks. Read More >>

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Hands On with Intel Vector Advisor XE

The best way to show off software is to use it to solve a problem. Today Ill explore the problem of analyzing a few megabytes of electricity consumption data. The idea is to see how much faster I can make processing the data by using the Intel Advisor XE 2016. …

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Why Big Data Needs Parallelism

Big Data has become a buzzword in the last couple of years though it’s been on the radar for almost 20 years since an IEEE conference on visualization first coined the phrase. It’s accepted that it means data sets that are so large or complex that they don’t fit into …

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Test Driving Vectorization Advisor Beta 2016

Intel Parallel Studio XE Professional Edition and Intel Parallel Studio XE Cluster Edition both include Intel Advisor XE 2016 Beta, an application for Fortran and C++ that helps you identify opportunities to speed up your programs in two ways. They are through finding code that can be parallelized with threading …

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CPUs vs. GPUs: Which One Is Right for You?

Long gone are the days of Central Processing Units (CPUs) doing all the donkey work. The last 10 years have seen much of the workload shifted from CPUs onto one or more General Purpose Graphics Processing Units (GPGPUs). Back at the turn of the century, graphics cards did just that, …

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