Code Sample

Code Sample: Access Control in Python*

Introduction

This access control system application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, Intel® IoT Gateway, cloud platforms, APIs, and other technologies.

From this exercise, developers will learn how to:

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  • Internet of Things
  • Python*
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  • MRAA Library
  • UPM Library
  • Cloud Computing
  • Sensors
  • Intro to Device Side AVC Motion Estimation

    This article introduces the new device-side h.264/Advanced Video Coding (AVC) motion estimation extensions for OpenCL* available for Intel Processor Graphics GPUs. Video motion estimation is a powerful feature which can enable new ways of thinking about many algorithms for video codecs and computer vision. The search for most representative motion vector, which is computationally expensive if done on CPU, can be offloaded to specialized hardware. The new device-side (called from within a kernel) interface enables more flexibility and customization while potentially avoiding some of the performance costs of host-side launch.
  • Linux*
  • Game Development
  • OpenCL*
  • H.264 (AVC)
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    Single Root I/O Virtualization and Open vSwitch* Hands-On Lab Tutorials

    This tutorial supports two hands-on labs delivered during the IEEE NFV/SDN conference in 2016. It includes comprehensive code samples and instructions to configure a single root I/O virtualization (SR-IOV) cluster and an NFV use case for Open vSwitch* with Data Plane Development Kit.
  • Linux*
  • Networking
  • Network Functions Virtualization (NFV)
  • Software Defined Networking (SDN)
  • Intel® ISA-L: Semi-Dynamic Compression Algorithms

    DEFLATE compression algorithms traditionally use either a dynamic or static compression table, with tradeoffs in processing time. The Intel® Intelligent Storage Acceleration Library (Intel® ISA-L) semi-dynamic compression comes close to getting the best of both worlds. Learn how.
  • Linux*
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Server
  • C/C++
  • Storage
  • License Agreement: 

    Intel® Intelligent Storage Acceleration Library: Cryptographic Hashes for Cloud Storage

    Storage efficiency technologies like compression and deduplication with rapid generation of cryptographic hashes are available now via the Intel® Intelligent Storage Acceleration Library (Intel® ISA-L). Code sample illustrates how to use this powerful feature.
  • Server
  • C/C++
  • Intel® Intelligent Storage Acceleration Library (ISA-L)
  • Storage Acceleration Library
  • Example Code
  • Intel® Streaming SIMD Extensions
  • Cloud Computing
  • Storage
  • License Agreement: 

    Configure Open vSwitch* with the Data Plane Development Kit in DevStack

    This tutorial describes how to set up a demonstration or test cluster for Open vSwitch* (OvS) and Data Plane Development Kit (DPDK) to run together on OpenStack*, using DevStack* as the deployment tool and the Neutron ML2/GRE Tunnel plugin.
  • Linux*
  • Networking
  • Network Functions Virtualization (NFV)
  • Software Defined Networking (SDN)
  • Intel® Xeon Phi™ Processor 7200 Family Memory Management Optimizations

    This paper examines software performance optimization for an implementation of a non-library version of DGEMM executing on the Intel® Xeon Phi™ processor (code-named Knights Landing, with acronym KNL) running the Linux* Operating System (OS).

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  • Professors
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  • Linux*
  • Modern Code
  • Server
  • C/C++
  • Intermediate
  • Intel® Advanced Vector Extensions (Intel® AVX)
  • MCDRAM
  • Intel® Many Integrated Core Architecture
  • 针对英特尔® 至强™ 处理器 E5 系列的 Caffe* 评分优化

    为了不断优化英特尔® 架构的深度学习工作负载,我们的工程师探索不同的路径,以达到最高性能。  基于 Caffe 的优化 AlexNet 训练的技术预览版于不久之前发布。 现在,我们分享另一版完全基于分类路径的技术预览,在英特尔 CPU 上展现了前所未有的出色性能。 

    我们再次通过伯克利愿景和学习中心 (BVLC) 开发的Caffe 深度学习框架,来展示我们的成果。

    我们专注于优化 AlexNet* 和 CaffeNet* 拓扑的分类路径。 技术预览版不包括训练路径和其他拓扑,并非和文件包一起运行。

  • Professional
  • Professors
  • Students
  • Linux*
  • Artificial Intelligence
  • C/C++
  • Advanced
  • Beginner
  • Intermediate
  • Intel® Xeon® Processor E5
  • AlexNet*
  • CaffeNet*
  • Machine Learning
  • Stream RGB Data Over Wi-Fi* Using Intel® Aero Compute Board and Intel® RealSense™ Technology

    This tutorial and code sample shows you how to send a video stream from the Intel® Aero Compute Board that has an Intel® RealSense™ camera (R200) attached to it. This video stream will be broadcast over the compute board’s Wi-Fi* network to a machine that is connected to the Wi-Fi network. The video stream will be displayed in the QGroundControl* internal video window.
  • Intel® RealSense™ Technology
  • Intel® Aero Platform for UAV
  • Intel® RealSense™ Technology
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