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4 Steps to Tune Up MPI Apps for Boosted Performance

Scientific and engineering programmers want to get every bit of performance possible from clustered systems. The growing popularity of MPI applications calls for new tools to analyze and improve overall system performance. This white paper discusses a methodical four-step approach to profiling and analyzing MPI performance using Intel Trace Analyzer …

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Multicore vs. Vectorized: Programming Techniques Compared

Parallel programming includes two separate technologies multicore and vectorized programming. But what is the difference and how can the two work together? Jeff Cogswell tackles this question. Here at Go Parallel, we’ve talked about two primary ways you can use parallel programming: multicore and vectorized. I’ve received a few emails …

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Parallel Power to the Programmer: Coding Course Leads the Way

As systems with multiple CPUS, each carrying multiple cores become increasingly popular for a large variety of workloads, organizations unsurprisingly want to take full advantage of each CPU and coprocessor that are part of the execution environment. Those who include Xeon Phi coprocessors as part of their infrastructure will be …

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How Vectorization Feeds Your Need for Speed

So, you’ve written a program but it’s data-intensive and you need more speed without forking out for a new computer? Maybe you’ve tried alternative algorithms, maxed out concurrency but still need more speed.  Could be it’s time to try vectorization. What is Vectorization? Vectorization is CPU hardware that can speed …

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Intel R&D Pact Aims to Speed Up Supercomputer Code

Intel extends its collaboration deal with Barcelona Supercomputing Center aimed at designing software able to run efficiently on tens of thousands of processor cores. Intel has extended its R&D effort with the Barcelona Supercomputer Center (BSC) to fund research into ways hardware and software of supercomputers can be tweaked to …

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Intel Unites Competing Standards with Virtual Networks

Intel has put more weight behind the effort to build stable, open platforms that could make it more practical to build software-defined enterprise- and wide-area networks. On Feb. 12, Intel released version 1.2 of its Open Network Platform (ONP) Server reference architecture, which includes instructions and code to optimize industry-standard …

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