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利用英特尔® SIMD 流指令扩展和英特尔® 高级矢量扩展指令集的图像处理加速技术

This article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.
Autor Larsson, Petter (Blackbelt) Última actualización 25/05/2018 - 15:30
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英特尔 MKL 中全新的快速基本随机数生成器

New BRNG SFMT19937 in Intel MKL
Autor Chao Y (Intel) Última actualización 27/03/2019 - 12:20
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诊断信息 15532: 循环无法进行矢量化处理:编译时间不足妨碍了循环进行优化

产品版本: Intel(R) Visual Fortran 编译器 XE 15.0.0.070

原因:

使用 Visual Fortran 编译器的优化选项 ( -O2  -Qopt-report:2 )  时出现矢量化报告,表示编译时间不足妨碍了优化。

Autor Devorah H. (Intel) Última actualización 05/07/2019 - 14:23
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Video

英特尔® 图形性能分析器 2015 R3 版本

英特尔® GPA 团队自豪地宣布发布 GPA 2015 R3!

下载英特尔® GPA

完整版本说明

Autor Última actualización 28/01/2019 - 02:03
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如何安装 Python* 版英特尔® 数据分析加速库(英特尔® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
Autor Gennady F. (Blackbelt) Última actualización 13/07/2018 - 14:32
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试用英特尔® System Studio 2019 的新特性

Autor Jeffrey R. (Intel) Última actualización 09/10/2018 - 02:09
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英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
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