This document provides an overview of some of the popular techniques and technologies available for parallelizing applications and explains how Intel® C++ Compilers can help with the parallelization effort.
Intel® Parallel Studio
Development and Optimization Techniques for Multi-Core Processors
In this article Max Domeika surveys various multi-core threading techniques such as OpenMP, and discusses some of the challenges when applying threading such as data races and cache conflicts.
Using Modern C++ For Parallel Programming
This presentation focuses on Intel Threading Building Blocks (Intel TBB), a C++ library that provides a complete, lightweight, and portable framework for creating scalable parallel applications. Intel TBB implements easy-to-use interfaces that help you apply multi-core performance without having to be a threading expert. We discuss concepts of modern C++ and parallel programming that Intel TBB is based on and demonstrate the expressive power of the most recent language extensions. We complete the webcast with examples of software threaded with TBB.
Lock Contention – Using Intel Parallel Studio to Improve Performance
Discover how easy it is to use the power of Microsoft Visual Studio and Intel Parallel Studio to find performance issues due to lock contention in threaded applications. This ensures that shipped applications can take better advantage of multicore processors. In this webcast, we provide live demonstrations that show how to identify lock contentions issues with Visual Studio and Intel Parallel Studio, an add-in to Visual Studio that helps developers create fast, reliable code on multicore processors.
Got Leaks? MSDN Webcast
Discover how easy it is to detect challenging Error checking by taking advantage of the power of Microsoft Visual Studio 2010 and Intel Parallel Studio. Intel Parallel Studio is an add-in to Visual Studio that helps you create fast, reliable code that takes advantage of multicore processors. Join us for this webcast to learn how this powerful combination of technologies helps ensure that shipped applications run error-free on customers' systems and see live demonstrations of the technologies in action.
Threaded Programming Methodology with Parallel Studio
In this 3 hour module, participants will learn the evolution of parallel processing architectures. After completing this module, a student should be able to describe how threading architectures relates to software development, to rapidly estimate the effort required to thread time consuming regions and to prototype the solution.
Topics covered include:
Intel IPP support for Intel® AVX2
List of Intel IPP functions optimized for processor code name Haswell
Intel® MKL Poisson Library and Trigonometric Transform: Overview
Intel® MKL introduces tools for solving Partial Differential Equations (PDE). These tools are Trigonometric Transform interface and Poisson Library routines.
Superscalar programming 101 (Matrix Multiply) Part 5 of 5
In part 4 we saw the effects of the QuickThread Parallel Tag Team Transpose method of Matrix Multiplication performed on a Dual Xeon 5570 systems with 2 sockets and two L3 caches, each shared by four cores (8 threads). and each processor with four L2 and four L1 caches each shared by one core and 2 threads, we find:
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