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Vectorization

vectorization

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by 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.
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 Member 4201813
Jump forward/backward procedures for XorShift RNG explained step by step
by 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.

Latest Articles

by tugrulGtx
A small tool for writing various algorithms as if they were CUDA/OpenCL kernels
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
Getting Good Data to Make Code Tuning Decisions

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Vectorization 

25 Apr 2022 by tugrulGtx
A small tool for writing various algorithms as if they were CUDA/OpenCL kernels
25 Apr 2020 by Shao Voon Wong
Benchmark between OpenMP, Parallel Patterns Library, Auto-Parallelizer and C++17 Parallel for_each
24 Apr 2020 by Member 4201813
Jump forward/backward procedures for XorShift RNG explained step by step
9 Apr 2020 by Intel
Getting Good Data to Make Code Tuning Decisions
28 Sep 2018 by MehreenTahir
This article will help you build different types of basic recommendation systems using Python.
1 Apr 2018 by 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.
22 Mar 2018 by Intel
This article presents use cases and provides examples which make use of the Intel® Math Kernel Library (Intel® MKL)
13 Mar 2018 by Kumar_Shiv, Rahul Kandu
Boosting Java Performance in Big Data Applications
13 Feb 2018 by Intel
Intel just released Intel® System Studio 2018, an all-in-one, cross-platform, comprehensive tool suite for system and IoT device application development.
11 Jan 2018 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.
15 Dec 2017 by Intel
Step by Step Performance Optimization with Intel® C++ Compiler
7 Nov 2017 by Rama Kishan Malladi
Optimizing SPECFEM3D_GLOBE Performance on Intel® Architecture
31 Aug 2017 by Intel
Open Source Code WARP3DExemplifies Renewed Interest in Vectorization
31 Aug 2017 by Intel
The JuliaProject Continues to Break New Boundaries in Scientific Computing
15 Jun 2017 by Intel
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.
14 Jun 2017 by Intel
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 by Intel
NERSC boosts the performance of its scientific applications on Intel® Xeon Phi™ processors up to 35% using Intel® Parallel Studio and Intel® Advisor
26 May 2017 by Intel
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 by Intel
Making Parallel Programming Accessible to C/C++ and Fortran Programmers―and Providing a Software Path to Exascale Computation
4 May 2017 by Intel
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.
17 Apr 2017 by Intel
Examples of How Intel® Compilers Can Vectorize and Speed Up Loops
17 Apr 2017 by Intel
How to Improve Scalability for Intel® Xeon and Intel® Xeon Phi™ Processors Using New Intel® VTune™ Amplifier Memory Analysis
17 Apr 2017 by Intel
How the Gold Standard Parallel Programming Language Has Improved with Each New Version
27 Feb 2017 by 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.
7 Feb 2017 by Intel
A New Way to Visualize Performance Optimization Trade-Offs
3 Nov 2016 by Intel
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 by Intel
Get Results with the Intel® Data Analytics Acceleration Library and the Latest Intel® Xeon Phi™ Processor
3 Nov 2016 by Intel
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
1 Jun 2016 by 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.
23 Apr 2016 by ed welch
How well does XCode's auto vectorization work in practice?
12 Apr 2016 by Shao Voon Wong
Using SSE2 to speed up alphablending.
2 Apr 2016 by Matt Scarpino
This article explains how to perform mathematical SIMD processing in C/C++ with Intel's Advanced Vector Extensions (AVX) intrinsic functions.
20 Jan 2016 by Intel
I'm working on a connectivity library for IoT devices. A serious part of every communication protocol is the data integrity check.
1 Dec 2015 by 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.
1 Oct 2015 by Android on Intel
Thanks to an x86-based Android tablet Intel loaned me for testing, PhonoPaper has been improved and optimized.
3 Jan 2015 by Espen Harlinn
A fast, reference counted, copy-on-write string class
17 Nov 2014 by 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.
11 Nov 2014 by Mario Mulansky
Using Boost.odeint together with Boost.SIMD to gain a factor three performance improvements.
18 Sep 2014 by 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.
16 Sep 2014 by 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.
1 Dec 2013 by Android on Intel
Development and Optimization for NDK-based Android Game Application on Platforms based on Intel® Architecture
1 Jan 2013 by Dávid Kocsis
A new general purpose language that aims to be fast, high level and simple to use.
5 Apr 2012 by Marius Bancila
In this article, I will enumerate and discuss some of the new or improved features for native development (but not all).
29 Jun 2009 by ProtoBytes
This is an introduction to creating XAML applications using Silverlight 2.0 and C#.
16 Nov 2008 by Tolga Birdal
This article demonstrates the utilization of C# for basic image processing algorithms
19 Jun 2008 by 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.
6 Jan 2008 by r.stropek