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Parallel Image Processing in OpenMP - Image Blocks

Hello,
I'm doing my first steps in the OpenMP world.

I have an image I want to apply a filter on.
Since the image is large I wanted to break it into non overlapping parts and apply the filter on each independently in parallel.
Namely, I'm creating 4 images I want to have different threads.

I'm using Intel IPP for the handling of the images and the function to apply on each sub image.

I described the code here:

Easy SIMD through Wrappers

SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
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    Background

    The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.

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    Optimizing Image resizing example of Intel(R) Integrated Performance Primitives (IPP) with Intel(R) Threading Building Blocks and Intel(R) C++ Compiler

    < Overview >

     In this article, we are enabling and using Intel(R) Integrated Performance Primitives(IPP), Intel(R) Threading Building Blocks(TBB) and Intel(R) C++ Compiler(ICC) on Linux ( Ubuntu 14.04 LTS 64bit ). We will build and run one of the examples that comes with IPP and apply TBB and ICC on the example to observe the performance improvement of using Intel(R) System Studio features.

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    Introduction

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    Target OS requirements:

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