Article

Tracing Rays Through the Cloud

Cloud-based online streaming services for games have been entertaining gamers for almost two years. Intel engineers have demonstrated the ability of the Intel Many Integrated Core architecture to serve high frame rates to as many as 8 tablet computers.
作者: Daniel Pohl (Intel) 最后更新时间: 2019/05/03 - 14:04
博客

C-States, P-States, where the heck are those T-States?

I had an interesting question come across my desk a few days ago: “Is it still worthwhile to understand T-states?” My first response was to think, “Huh? What the heck is a T-state?”

作者: 最后更新时间: 2019/07/06 - 17:00
博客

Power Management Policy: You Mean There’s More Than One?

Power management policy has evolved over the years.

作者: 最后更新时间: 2019/07/06 - 17:00
Article

Intel MPI Library and MPSS compatibility

The following table lists all supported versions of the Intel® MPI Library and the Intel® Manycore Platform Software Stack (MPSS).

作者: Gergana S. (Blackbelt) 最后更新时间: 2019/07/06 - 16:40
Article

IDF'15 Webcast: Data Analytics and Machine Learning

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:40
Article

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

作者: Vadim Pirogov (Intel) 最后更新时间: 2019/03/21 - 12:00
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 16:30
Article

在英特尔® 数学核心函数库中引入 DNN 基元

    深度神经网络 (DNN) 处于机器学习领域的前沿。这些算法在 20 世纪 90 年代后期得到了行业的广泛采用,最初应用于诸如银行支票手写识别等任务。深度神经网络在这一任务领域已得到广泛运用,达到甚至超过了人类能力。如今,DNN 已用于图像识别、视频和自然语言处理以及解决复杂的视觉理解问题,如自主驾驶等。DNN 在计算资源及其必须处理的数据量方面要求非常苛刻。

作者: Vadim Pirogov (Intel) 最后更新时间: 2019/03/21 - 12:08
Article

Intel Solutions and Technologies for the Evolving Data Center

  One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
作者: 管理 最后更新时间: 2019/07/06 - 16:40
博客

Autodesk University Shows How Intel Technology Powers 3D Design & Engineering Software

At the Autodesk University event in Las Vegas, November 14-16, civil and commercial/industrial designers and manufacturers who use Autodesk software came together to see The Future of Making Things.
作者: 最后更新时间: 2019/03/21 - 12:08