Article

Optimize Financial Applications using Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications.

Criado por Zhang, Zhang (Intel) Última atualização em 25/05/2018 - 15:30
Article

Intel® System Studio - Multicore Programming with Intel® Cilk™ Plus

Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...
Criado por Hans P. (Intel) Última atualização em 11/12/2017 - 10:48
File Wrapper

Parallel Universe Magazine - Issue 9, February 2012

Criado por administrar Última atualização em 12/12/2018 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 23, November 2015

Criado por administrar Última atualização em 12/12/2018 - 18:08
Article

Vectorization Advisor 助您一臂之力

Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
Criado por Última atualização em 02/10/2019 - 15:40
Article

Get a Helping Hand from the Vectorization Advisor

Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Criado por Última atualização em 02/10/2019 - 15:41
Article

案例研究: 使用分布式优化框架在 Monte Carlo 欧式期权方面实现高级性能

1. 简介

Monte Carlo 使用统计计算方法解决复杂的科学计算问题。 它创新地使用随机数字模拟一个问题输入结果的不确定性,并通过处理重复的参数抽样获得一个确定的结果和解决一些以其他方式无法解决的问题。 该方法最早起源于上世纪 40 年代末,由参与“曼哈顿”计划的核物理学家们率先提出。 并采用摩纳哥最大的赌城 Monte Carlo 来命名。

Criado por Última atualização em 03/10/2019 - 08:02
Article

Optimizing Correlation Analysis of Financial Market Data Streams Using Intel® Math Kernel Library

Download Source Code
Criado por Zhang, Zhang (Intel) Última atualização em 15/10/2019 - 16:50
Article

Tencent* Uses Machine Learning for In-Game Purchase Recommendation System on Intel® Xeon® Processors

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Criado por Nguyen, Khang T (Intel) Última atualização em 15/10/2019 - 19:55