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vectorization

vectorization

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by Member 4201813
Jump forward/backward procedures for XorShift RNG explained step by step
by Android on Intel
Development and Optimization for NDK-based Android Game Application on Platforms based on Intel® Architecture
by Allister Beharry
.NET SIMD programs using the Vector types show performance comparable to Intel ISPC and open source C++ SIMD libraries while satisfying the same goal of SIMD developer productivity in a high-level language.
by Arthur V. Ratz
This article demonstrates the development of code in C# implementing famous k-means clustering algorithm to perform graphical raster image segmentation.

Latest Articles

by Intel Corporation
Best Practices for Taking Advantage of the Latest Architectural Features
by Shao Voon Wong
Benchmark between OpenMP, Parallel Patterns Library, Auto-Parallelizer and C++17 Parallel for_each
by Member 4201813
Jump forward/backward procedures for XorShift RNG explained step by step
by Intel Corporation
Gain Insights into How Well Your Application is Vectorized Using Intel® Advisor

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vectorization 

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26 Feb 2018
Markus Glagla
I will show how to prepare training and test data, define a simple neural network model, train and test it.
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6 Jan 2008
r.stropek
Graphic in XAML and WPF
19 Jun 2008
Intel Software Network
This paper will provide a brief background on ISA, and then give an overview of the new instructions and capabilities of the Intel AVX and advantages of these innovative instructions across various applications and programming models.
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16 Nov 2008
Tolga Birdal
This article demonstrates the utilization of C# for basic image processing algorithms
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29 Jun 2009
ProtoBytes
This is an introduction to creating XAML applications using Silverlight 2.0 and C#.
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1 Jan 2013
Dávid Kocsis
A new general purpose language that aims to be fast, high level and simple to use.
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12 Apr 2016
Shao Voon Wong
Using SSE2 to speed up alphablending.
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5 Apr 2012
Marius Bancila
In this article, I will enumerate and discuss some of the new or improved features for native development (but not all).
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25 Apr 2020
Shao Voon Wong
Benchmark between OpenMP, Parallel Patterns Library, Auto-Parallelizer and C++17 Parallel for_each
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3 Jan 2015
Espen Harlinn
A fast, reference counted, copy-on-write string class
1 Dec 2013
Android on Intel
Development and Optimization for NDK-based Android Game Application on Platforms based on Intel® Architecture
16 Sep 2014
Android on Intel
This paper will discuss optimization needs and approaches on Android and walk through a case study of how to optimize a multimedia and augmented reality application.
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18 Sep 2014
Android on Intel
In this paper, we will investigate the HEVC codec characters and optimize the CPU-based software video trans-coding technologies,which provide the best video quality and the most flexible programming model.
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17 Nov 2014
Android on Intel
This article will focus on optimizing NDK based Apps. These may be solely C/C++ code or may include 3rd party libraries and/or assembly code.
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11 Nov 2014
Mario Mulansky
Using Boost.odeint together with Boost.SIMD to gain a factor three performance improvements.
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2 Apr 2016
Matt Scarpino
This article explains how to perform mathematical SIMD processing in C/C++ with Intel's Advanced Vector Extensions (AVX) intrinsic functions.
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1 Oct 2015
Android on Intel
Thanks to an x86-based Android tablet Intel loaned me for testing, PhonoPaper has been improved and optimized.
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1 Dec 2015
Android on Intel
Intel(R) XDK is an HTML5 Cross-platform Development Tool and provides an easy and fast way to get your apps to market. Emscripten Compiler and Intel XDK now gives you another option to publish apps using C and C++ as part of the application.
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20 Jan 2016
Intel Corporation
I'm working on a connectivity library for IoT devices. A serious part of every communication protocol is the data integrity check.
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23 Apr 2016
Florian Rappl
In this article we look behind the development of a Top 500 listed highly-efficient supercomputer: the QPACE 2.
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23 Apr 2016
ed welch
How well does XCode's auto vectorization work in practice?
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1 Jun 2016
Android on Intel
Intel® System Studio 2017 Beta has been released. This is the Beta program page which guides you further on Intel® System Studio 2017 Beta new features and enhanced usability experience.
3 Nov 2016
Intel Corporation
The new Intel® Xeon Phi™ processor (code-named Knights Landing, or KNL) is Intel’s first processor to deliver the performance of an accelerator with the benefits you’ve come to expect from a standard CPU
3 Nov 2016
Intel Corporation
To help innovators tackle the complexities of machine learning, we are making performance optimizations available to developers through familiar Intel® software tools, specifically through the Intel® Data Analytics Acceleration Library (Intel® DAAL) and enhancements to the Intel® Math Kernel Library
3 Nov 2016
Intel Corporation
Get Results with the Intel® Data Analytics Acceleration Library and the Latest Intel® Xeon Phi™ Processor
7 Feb 2017
Intel Corporation
A New Way to Visualize Performance Optimization Trade-Offs
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27 Feb 2017
theonemule
To fully take advantage of parallelization features, developers have to change how they code. But a great deal of optimizations can be made through Intel’s parallelization tool, Intel Advisor.
17 Apr 2017
Intel Corporation
Examples of How Intel® Compilers Can Vectorize and Speed Up Loops
17 Apr 2017
Intel Corporation
How to Improve Scalability for Intel® Xeon and Intel® Xeon Phi™ Processors Using New Intel® VTune™ Amplifier Memory Analysis
17 Apr 2017
Intel Corporation
How the Gold Standard Parallel Programming Language Has Improved with Each New Version
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4 May 2017
Intel Corporation
This paper demonstrates a special version of Caffe — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
26 May 2017
Intel Corporation
We’ll begin with a little history and some basics that everyone who picks up R and cares about performance ought to know.
26 May 2017
Intel Corporation
Making Parallel Programming Accessible to C/C++ and Fortran Programmers―and Providing a Software Path to Exascale Computation
14 Jun 2017
Intel Corporation
Novosibirsk State University boosts a simulation tool’s performance by 3X with Intel® Parallel Studio, Intel® Advisor, and Intel® Trace Analyzer and Collector
14 Jun 2017
Intel Corporation
NERSC boosts the performance of its scientific applications on Intel® Xeon Phi™ processors up to 35% using Intel® Parallel Studio and Intel® Advisor
15 Jun 2017
Intel Corporation
Several open source projects that are being integrated into open source Lustre are designed to improve reliability, flexibility, and performance, align the enterprise-grade features built into ZFS with Lustre, and enhance functionality that eases Lustre deployments on ZFS.
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29 Aug 2017
Arthur V. Ratz
This article demonstrates the development of code in C# implementing famous k-means clustering algorithm to perform graphical raster image segmentation.
29 Aug 2017
Intel® Nervana™ AI Academy
This article aims to explore what happens when Intel solutions support functional and logic programming languages that are regularly used for AI.
31 Aug 2017
Intel Corporation
Open Source Code WARP3DExemplifies Renewed Interest in Vectorization
31 Aug 2017
Intel Corporation
The JuliaProject Continues to Break New Boundaries in Scientific Computing
7 Nov 2017
Rama Kishan Malladi
Optimizing SPECFEM3D_GLOBE Performance on Intel® Architecture
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15 Dec 2017
Intel Corporation
Step by Step Performance Optimization with Intel® C++ Compiler
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11 Jan 2018
Allister Beharry
.NET SIMD programs using the Vector types show performance comparable to Intel ISPC and open source C++ SIMD libraries while satisfying the same goal of SIMD developer productivity in a high-level language.
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13 Feb 2018
Intel Corporation
Intel just released Intel® System Studio 2018, an all-in-one, cross-platform, comprehensive tool suite for system and IoT device application development.
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3 Mar 2018
Vince Chan
A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn
13 Mar 2018
Kumar_Shiv, Rahul Kandu
Boosting Java Performance in Big Data Applications
22 Mar 2018
Intel Corporation
This article presents use cases and provides examples which make use of the Intel® Math Kernel Library (Intel® MKL)
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1 Apr 2018
Sergey Alexandrovich Kryukov
The mystery of Benham’s top invented in 1895, as well as Fechner color effect, remains not fully uncovered so far. WPF and XAML help to accelerate the research greatly.
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28 Sep 2018
MehreenTahir
This article will help you build different types of basic recommendation systems using Python.
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28 Sep 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
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20 Dec 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating recurrent ANNs and applying them to different tasks.
26 Mar 2020
Intel Corporation, Henry Gabb
A graph is a good way to represent a set of objects and the relations between them. Graph analytics is the set of techniques to extract information from connections between entities.
6 Apr 2020
Intel Corporation
Using the Latest Intel® Software Development Tools to Make More Efficient Use of Hardware
7 Apr 2020
Intel Corporation
Let’s take a look at benchmarking the Louvain algorithm.
9 Apr 2020
Intel Corporation
Getting Good Data to Make Code Tuning Decisions
14 Apr 2020
Intel Corporation
Understanding How Your Program is Accessing Memory Helps You Get More from Your Hardware
21 Apr 2020
Intel Corporation
Optimizing SPECFEM3D_GLOBE Performance on Intel® Architecture
23 Apr 2020
Intel Corporation
Gain Insights into How Well Your Application is Vectorized Using Intel® Advisor
Please Sign up or sign in to vote.
24 Apr 2020
Member 4201813
Jump forward/backward procedures for XorShift RNG explained step by step
30 Apr 2020
Intel Corporation
Best Practices for Taking Advantage of the Latest Architectural Features