Click here to Skip to main content

Submit your article

Vectorization

vectorization

Great Reads

Implementing K-Means Image Segmentation Algorithm

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.

Illusionary XAML: Reinventing Benham's Top

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.

Benchmarking .NET Core SIMD Performance vs. Intel ISPC

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.

XorShift Jump 101, Part 2: Polynomial Arithmetic

by Member 4201813

Jump forward/backward procedures for XorShift RNG explained step by step

Latest Articles

Simulating CUDA/OpenCL on CPU, with Auto-vectorization and Speedup against Serial Scalar Code

by tugrulGtx

A small tool for writing various algorithms as if they were CUDA/OpenCL kernels

Visual C++ 11 Beta Benchmark of Parallel Loops

by Shao Voon Wong

Benchmark between OpenMP, Parallel Patterns Library, Auto-Parallelizer and C++17 Parallel for_each

XorShift Jump 101, Part 2: Polynomial Arithmetic

by Member 4201813

Jump forward/backward procedures for XorShift RNG explained step by step

Gaining Performance Insights Using the Intel® Advisor Python API

by Intel Corporation

Getting Good Data to Make Code Tuning Decisions

All Articles

Vectorization

Implementing K-Means Image Segmentation Algorithm

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.

Illusionary XAML: Reinventing Benham's Top

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.

Benchmarking .NET Core SIMD Performance vs. Intel ISPC

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.

XorShift Jump 101, Part 2: Polynomial Arithmetic

24 Apr 2020

Member 4201813

Jump forward/backward procedures for XorShift RNG explained step by step

Real-time End-to-End H.265/HEVC Solution for Intel® Architecture-based Platforms

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.

Step by Step Performance Optimization with Intel® C++ Compiler

15 Dec 2017

Intel Corporation

Step by Step Performance Optimization with Intel® C++ Compiler

Simulating CUDA/OpenCL on CPU, with Auto-vectorization and Speedup against Serial Scalar Code

25 Apr 2022

tugrulGtx

A small tool for writing various algorithms as if they were CUDA/OpenCL kernels

Speed System & IoT Device Application Development with New Intel® System Studio 2018

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.

What's Wrong With My CRC?

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.

PhonoPaper Optimization using Intel® tools

1 Oct 2015

Android on Intel

Thanks to an x86-based Android tablet Intel loaned me for testing, PhonoPaper has been improved and optimized.

Intel® Advisor Review

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.

Development and Optimization for NDK-based Android Game Application on Platforms based on Intel® Architecture

1 Dec 2013

Android on Intel

Development and Optimization for NDK-based Android Game Application on Platforms based on Intel® Architecture

product-showcase

Intel® System Studio 2017 Beta

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.

machine-learning

Tips and Tricks to Optimize Android Apps on x86

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.

Caffe Optimized for Intel® Architecture: Applying Modern Code Techniques

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.

Boosting Java Performance in Big Data Applications

13 Mar 2018

Kumar_Shiv, Rahul Kandu

Boosting Java Performance in Big Data Applications

product-showcase

Using Intel® Math Kernel Library with Arduino Create

22 Mar 2018

Intel Corporation

This article presents use cases and provides examples which make use of the Intel® Math Kernel Library (Intel® MKL)

product-showcase

Gaining Performance Insights Using the Intel® Advisor Python API

9 Apr 2020

Intel Corporation

Getting Good Data to Make Code Tuning Decisions

product-showcase

Modernize Your Code for Intel® Xeon Phi™ Processors

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

product-showcase

Unleash The Power Of Big Data Analytics And Machine Learning

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

product-showcase

machine-learning

Lightning-Fast R Machine Learning Algorithms

3 Nov 2016

Intel Corporation

Get Results with the Intel® Data Analytics Acceleration Library and the Latest Intel® Xeon Phi™ Processor

machine-learning

product-showcase

Trusted Tools in the New Android* World: Optimization Techniques - from Intel® SSE Intrinsics to Intel® Cilk™ Plus

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.

product-showcase

Intel® Advisor Roofline Analysis

7 Feb 2017

Intel Corporation

A New Way to Visualize Performance Optimization Trade-Offs

product-showcase

Vectorization Opportunities for Improved Performance with Intel® AVX-512

17 Apr 2017

Intel Corporation

Examples of How Intel® Compilers Can Vectorize and Speed Up Loops

product-showcase

Identify Scalability Problems in Parallel Applications

17 Apr 2017

Intel Corporation

How to Improve Scalability for Intel® Xeon and Intel® Xeon Phi™ Processors Using New Intel® VTune™ Amplifier Memory Analysis

product-showcase

The Present and Future of the OpenMP API Specification

17 Apr 2017

Intel Corporation

How the Gold Standard Parallel Programming Language Has Improved with Each New Version

product-showcase

HPC with R: The Basics

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.

product-showcase

parallel-processing

Happy 20th Birthday, OpenMP

26 May 2017

Intel Corporation

Making Parallel Programming Accessible to C/C++ and Fortran Programmers―and Providing a Software Path to Exascale Computation

parallel-processing

product-showcase

More Efficient Numerical Simulation

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

product-showcase

Optimizing Application Performance with Roofline Analysis

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

product-showcase

How the Lustre Developer Community is Advancing ZFS as a Lustre Back-end File System

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.

product-showcase

Vectorization Becomes Important―Again

31 Aug 2017

Intel Corporation

Open Source Code WARP3DExemplifies Renewed Interest in Vectorization

product-showcase

parallel-processing

Julia: A High-Level Language for Supercomputing

31 Aug 2017

Intel Corporation

The JuliaProject Continues to Break New Boundaries in Scientific Computing

product-showcase

parallel-processing

Effectively Using Your Whole Cluster

7 Nov 2017

Rama Kishan Malladi

Optimizing SPECFEM3D_GLOBE Performance on Intel® Architecture

product-showcase

SSE2 Vectorization of Alphablend Code

12 Apr 2016

Shao Voon Wong

Using SSE2 to speed up alphablending.

A C++ String Class

3 Jan 2015

Espen Harlinn

A fast, reference counted, copy-on-write string class

Crunching Numbers with AVX and AVX2

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.

Bird Programming Language: Part 1

1 Jan 2013

Dávid Kocsis

A new general purpose language that aims to be fast, high level and simple to use.

What's New in VS11 for Native Development

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).

Boosting ODE simulations with Boost.odeint and Boost.SIMD

11 Nov 2014

Mario Mulansky

Using Boost.odeint together with Boost.SIMD to gain a factor three performance improvements.

Visual C++ 11 Beta Benchmark of Parallel Loops

25 Apr 2020

Shao Voon Wong

Benchmark between OpenMP, Parallel Patterns Library, Auto-Parallelizer and C++17 Parallel for_each

Graphic in XAML and WPF

6 Jan 2008

r.stropek

Graphic in XAML and WPF

Building Recommendation Systems using Python

28 Sep 2018

MehreenTahir

This article will help you build different types of basic recommendation systems using Python.

artificial-intelligence

Using the Emscripten Compiler with the Intel® XDK

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.

Intel AVX: New Frontiers in Performance Improvements and Energy Efficiency

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.

product-showcase

Image Processing Basics in C#

16 Nov 2008

Tolga Birdal

This article demonstrates the utilization of C# for basic image processing algorithms

XAML Graphics Series - Part 2 Silverlight 2.0 Desktop Art Animation

29 Jun 2009

ProtoBytes

This is an introduction to creating XAML applications using Silverlight 2.0 and C#.

Testing Xcode's auto-vectorization

23 Apr 2016

ed welch

How well does XCode's auto vectorization work in practice?