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Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

Authored by Last updated on 07/03/2019 - 20:08
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Pointer Checker to Debug Buffer Overruns and Dangling Pointers (Part 1)

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Pointer Checker to debug buffer overruns and dangling pointers

Authored by Last updated on 03/27/2019 - 15:08
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Quick Linking Intel® MKL BLAS, LAPACK to R

Overview

Authored by Ying H. (Intel) Last updated on 06/07/2017 - 10:24
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Fine-Tuning Optimization for a Numerical Method for Hyperbolic Equations Applied to a Porous Media Flow Problem with Intel® Tools

This paper presents an analysis for potential optimization for a Godunov-type semi-discrete central scheme, for a particular hyperbolic problem implicated in porous media flow, using OpenMP* and Intel® Advanced Vector Extensions 2.
Authored by cabral, frederico Last updated on 07/03/2019 - 20:00
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Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
Authored by Alberto V. (Intel) Last updated on 07/08/2019 - 19:26
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Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

Authored by Last updated on 07/16/2019 - 08:37
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Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Authored by Bryan B. (Intel) Last updated on 03/11/2019 - 13:17
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Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Authored by Bryan B. (Intel) Last updated on 05/23/2018 - 11:00
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英特尔® MKL-DNN:第一部分 – 库的概述和安装

英特尔 MKL-DNN 教程系列的开发人员简介从开发人员的角度介绍了英特尔 MKL-DNN。第一部分提供了丰富的资源,详细介绍了如何安装和构建库组件。
Authored by Bryan B. (Intel) Last updated on 05/08/2018 - 10:50
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英特尔® MKL-DNN:第二部分 – 代码示例创建与详解

在本篇中 (系列教程第二部分),将介绍如何配置集成开发环境 (IDE),以创建 C++ 代码示例,并提供基于 AlexNet* 深度学习拓扑的代码详解。
Authored by Bryan B. (Intel) Last updated on 05/23/2018 - 11:00