博客

Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

作者: Mike P. (Intel) 最后更新时间: 2019/07/04 - 19:51
Article

Benefits of Using Intel® Software Development Emulator

Introduction
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/05 - 20:26
博客

Brain Development Simulation, 300x Faster

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 17:45
博客

2017: A Summer of Consensus

作者: Rick Echevarria (Intel) 最后更新时间: 2018/04/17 - 15:58
博客

AI DevCamp:Chicago

I write this as an observer of something I had yet to witness.

作者: Karl Fezer (Intel) 最后更新时间: 2018/08/14 - 16:20
Article

Finding BIOS Vulnerabilities with Symbolic Execution and Virtual Platforms

Intel’s Excite project uses a combination of symbolic execution, fuzzing, and concrete testing to find vulnerabilities in sensitive code.
作者: Engblom, Jakob (Intel) 最后更新时间: 2019/08/02 - 15:51
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
作者: 最后更新时间: 2019/10/15 - 15:30
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/10/15 - 16:50
博客

The 0-Day Challenge: What is the Pulse of the Internet?

The core components of the Internet get updated constantly. Every time the source changes, the health and performance can change. A single source code change can fail to build, can break compatibility with existing code and can change the performance anywhere from a fraction of a percent up to 10% or more on major customer workloads. We're trying to read the pulse of our core components (Python,...
作者: David S. (Blackbelt) 最后更新时间: 2019/10/15 - 17:51