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Vectorization

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Great Reads

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

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

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

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

Getting Good Data to Make Code Tuning Decisions

All Articles

Vectorization

Illusionary XAML: Reinventing Benham's Top

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.

Benchmarking .NET Core SIMD Performance vs. Intel ISPC

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.

XorShift Jump 101, Part 2: Polynomial Arithmetic

24 Apr 2020 by 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 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.

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

15 Dec 2017 by Intel

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 by 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 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.

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

1 Dec 2013 by Android on Intel

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

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PhonoPaper Optimization using Intel® tools

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.

What's Wrong With My CRC?

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.

Intel® Advisor Review

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.

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

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.

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Tips and Tricks to Optimize Android Apps on x86

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.

Intel® System Studio 2017 Beta

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.

machine-learning

Modernize Your Code for Intel® Xeon Phi™ Processors

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

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Unleash The Power Of Big Data Analytics And Machine Learning

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

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machine-learning

Lightning-Fast R Machine Learning Algorithms

3 Nov 2016 by Intel

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

machine-learning

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Intel® Advisor Roofline Analysis

7 Feb 2017 by Intel

A New Way to Visualize Performance Optimization Trade-Offs

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Vectorization Opportunities for Improved Performance with Intel® AVX-512

17 Apr 2017 by Intel

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

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Identify Scalability Problems in Parallel Applications

17 Apr 2017 by Intel

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

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The Present and Future of the OpenMP API Specification

17 Apr 2017 by Intel

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

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Caffe Optimized for Intel® Architecture: Applying Modern Code Techniques

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.

HPC with R: The Basics

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.

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parallel-processing

Happy 20th Birthday, OpenMP

26 May 2017 by Intel

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

parallel-processing

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More Efficient Numerical Simulation

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

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Optimizing Application Performance with Roofline Analysis

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

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

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.

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Vectorization Becomes Important―Again

31 Aug 2017 by Intel

Open Source Code WARP3DExemplifies Renewed Interest in Vectorization

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parallel-processing

Julia: A High-Level Language for Supercomputing

31 Aug 2017 by Intel

The JuliaProject Continues to Break New Boundaries in Scientific Computing

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parallel-processing

Effectively Using Your Whole Cluster

7 Nov 2017 by Rama Kishan Malladi

Optimizing SPECFEM3D_GLOBE Performance on Intel® Architecture

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Boosting Java Performance in Big Data Applications

13 Mar 2018 by Kumar_Shiv, Rahul Kandu

Boosting Java Performance in Big Data Applications

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Using Intel® Math Kernel Library with Arduino Create

22 Mar 2018 by Intel

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

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Gaining Performance Insights Using the Intel® Advisor Python API

9 Apr 2020 by Intel

Getting Good Data to Make Code Tuning Decisions

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SSE2 Vectorization of Alphablend Code

12 Apr 2016 by Shao Voon Wong

Using SSE2 to speed up alphablending.

A C++ String Class

3 Jan 2015 by Espen Harlinn

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

Crunching Numbers with AVX and AVX2

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.

Bird Programming Language: Part 1

1 Jan 2013 by 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 by 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 by 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 by 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 by r.stropek

Graphic in XAML and WPF

Building Recommendation Systems using Python

28 Sep 2018 by 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 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.

Intel AVX: New Frontiers in Performance Improvements and Energy Efficiency

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.

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Image Processing Basics in C#

16 Nov 2008 by 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 by ProtoBytes

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

Testing Xcode's auto-vectorization

23 Apr 2016 by ed welch

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