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Reducing boilerplate code in parallelized loops with C++11 lambda expressions

The C++11 standard, formerly known as C++0x, brought lambda expressions, and their usage greatly reduces boilerplate code. Intel® C++ compiler allows us to take advantage of lambda expressions to reduce boilerplate code when parallelizing loops with Intel® Threading Building Blocks (Intel® TBB).
Authored by gaston-hillar Last updated on 12/05/2016 - 16:57
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Accelerating Business Intelligence and Insights with Software Optimized for the Intel® Xeon® Processor E7 v3 Family

By Mike Pearce, Ph.D. Intel Developer Evangelist for the IDZ Server Community.

Authored by Mike P. (Intel) Last updated on 11/30/2016 - 19:09
Blog post

Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. Last updated on 11/22/2016 - 09:40
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Introduction to Embree 2.1 - Part 1

This is part of a series of blogs on Embree, a collection of high performance ray tracing kernels. Embree has been released open source since version 1.0.

Authored by Louis F. (Intel) Last updated on 11/17/2016 - 19:28
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Intel SOA "Soft" Appliance in Financial Services

"Time is money".  That old saying is as relevant as ever in the modern financial service markets.  Complex, real-time, and algorithmic trading are constantly pushing the envelope of that phase. 

Authored by Last updated on 11/15/2016 - 17:18
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Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel®TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Authored by Sharmila C. (Intel) Last updated on 11/15/2016 - 14:18
Blog post

Have your cake and eat it too - part 2

In the first part of this article I described how you can “have your cake and eat it too” with respect to programm

Authored by jimdempseyatthecove Last updated on 11/15/2016 - 14:18
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Open Parallel: Optimizing Web Performance with TBB

Open Parallel is a research and development company that focuses on parallel programming and multicore development.

Authored by Nicolás Erdödy Last updated on 11/15/2016 - 14:18
Blog post

Jeff's Notebook: Solving Memory-Related Bottlenecks in your Parallel Programming

One of the issues that multi-core programmers run into as they are trying to get the most performance out of their application is memory-related bottlenecks. Memory-related bottlenecks can cause yo

Authored by Jeff Kataoka (Intel) Last updated on 11/15/2016 - 14:18
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1024cores: All about lock-free, concurrency, multicore and parallelism

It finally happened!

Authored by Dmitry Vyukov Last updated on 11/15/2016 - 14:18
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