Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

Authored by Anoop M. (Intel) Last updated on 12/12/2018 - 18:00
Article

Peel the Onion (Optimization Techniques)

This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
Authored by jimdempseyatthecove (Blackbelt) Last updated on 12/12/2018 - 18:00
Blog post

Reduce Boilerplate Code in Parallelized Loops with C++11 Lambda Expressions

Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
Authored by gaston-hillar (Blackbelt) Last updated on 12/12/2018 - 18:00
Article

Optimize Data Layout with SIMD Templates

Contrast results for manually tuning financial data and using data layout templates in the Intel® C++ Compiler.
Authored by Nimisha R. (Intel) Last updated on 12/12/2018 - 18:00
Article

Use SIMD Data Layout Templates (SDLT) Efficiently in Animation

Improve your vectorization project using techniques and methodologies from Intel.
Authored by Last updated on 03/25/2019 - 11:40
Article

Чистим лук (но не плачем): методики оптимизации

Эта статья представляет собой формализованный ответ на публикацию на форуме Intel® Developer Zone. См.: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
Authored by Last updated on 12/12/2018 - 18:00
Article

借助 SIMD 数据布局模板优化数据布局

Financial service customers need to improve financial algorithmic performance for models such as Monte Carlo, Black-Scholes, and others. SIMD programming can speed up these workloads. In this paper, we perform data layout optimizations using two approaches on a Black-Scholes workload for European options valuation from the open source Quantlib library.
Authored by Nimisha R. (Intel) Last updated on 12/12/2018 - 18:00
Article

借助 SIMD 数据布局模板和数据预处理提高 SIMD 在动画中的使用效率

In this paper, we walk through a 3D Animation algorithm example and describe some techniques and methodologies that may benefit your next vectorization endeavors. We also integrate the algorithm with SIMD Data Layout Templates (SDLT), which is a feature of Intel® C++ Compiler, to improve data layout and SIMD efficiency. Includes code sample.
Authored by Last updated on 03/25/2019 - 11:40
Article

英特尔® 至强融核™ 处理器优化教程

In this tutorial, we demonstrate some possible ways to optimize an application to run on the Intel® Xeon Phi™ processor
Authored by Nguyen, Loc Q (Intel) Last updated on 03/21/2019 - 12:00
Article

Quick Analysis of Vectorization Using Intel® Advisor

Find out how to use the command-line interface in Intel® Advisor 2017 for a quick, initial analysis of loop performance that gives an overview of the hotspots in your code.
Authored by Alberto V. (Intel) Last updated on 03/21/2019 - 12:00