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Solving the N-Body Problem in Parallelism

A common problem in physics and science, the n-body problem requires huge amounts of calculations to solve—making it an excellent application for parallel programming. Jeff Cogswell discusses how a new book that tackles big problems with parallel coding helps solve n-body models as well. If you’re interested in taking your …

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Manage Your Threads with Task Arenas in TBB

Threading Building Blocks (TBB) includes a default task scheduler that works well but is somewhat limited. If you need more control over your thread scheduling, you can use a task arena. Jeff Cogswell shows you how it works. One of the C++ and parallel programming experts at Intel named Anton …

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Installing and Running Intel Software Development Emulator

The Intel Software Development Emulator lets you test out code for instruction sets that aren’t available on your own processor. Jeff Cogswell shows you how to install and get started with it.

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Modernizing Software with Vectorization

Intel is working with high-performance computing facilities across the planet to establish Parallel Computing Centers. The goal is modernization. In this blog, Jeff Cogswell looks at what that means in terms of vectorization and multicore development, and considers how we can learn from the work of these centers. Over the …

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Scale Performance from Multicore to Many-Core

Implementing a parallel algorithm can get frustrating at times. Developers can thread an application, but see little performance gain. Or they can hit a scalability ceiling where performance gains level off as more cores are added. A newly updated tool, the Advisor XE 2015, can help solve those issues by …

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Army of Parallel Programming Experts Shares Tricks of the Trade

In this video, author and Intel parallel computing evangelist James Reinders discusses his latest book, “High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches,” an instructional volume packed with learnings from 69 contributing authors in 28 chapters that are structured to show you how to get the most performance from …

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Putting Every Core to Work: Using Graphics Power for General Purpose Computing

Graphics engines aren’t just for graphics anymore. In this video, Intel Technical Consulting Engineer Anoop Madhusoodhanan Prabha discusses a new use for that graphics power, namely boosting your general purpose computing horsepower. Watch this video to see how you can use the newest compiler features to channel the capabilities of …

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Allocate Memory Effectively in TBB

Threading Building Blocks (TBB) includes drop-in replacement functions for the C-type memory allocation functions, as well as replacements for the C++-type allocators. Jeff Cogswell introduces them. When you’re using Threading Building Blocks and writing an app that makes use of the basic memory allocation functions, there’s a feature whereby you …

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Cray Enters New Territory with Chapel Parallel Language

Supercomputer manufacturer Cray is developing a general-purpose, parallel programming language called Chapel that supports Intel architecture. Jeff Cogswell gives you a quick tour. When people think of Cray, they usually think of supercomputers. But something else is coming out of the company: A language for parallel programming that is portable …

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Apache Spark Lets You Take Parallel Programming Across a Cluster

Parallel programming in a cluster of nodes shares many of the same concepts as parallel programming across cores and vectors. Apache Spark is a clustered, in-memory processing engine that lets you scale your software across thousands of nodes. Jeff Cogswell introduces it. When working in parallel programming, we often live …

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