Technical Article

Get Started Using the DPDK Traffic Management API

This tutorial describes the new traffic management (TM) API in DPDK 17.08. Features include hierarchical scheduling, traffic shaping, congestion management, and packet marking, using a generic interface for QoS TM configuration for devices such NICs, NPUs, ASICs, and FPGAs. A typical DPDK function call sequence helps you get started using the API.
  • Network Functions Virtualization (NFV)
  • Software Defined Networking (SDN)
  • Intel® Math Kernel Library (Intel® MKL) and pkg-config tool

        The pkg-config tool[1] is a widely used tool that many users apply to their makefiles. Intel® Math Kernel Library (Intel® MKL) provides pkg-config metadata files for this tool starting with the Intel MKL 2018 Update 1 release.

        The Intel MKL pkg-config metadata files cover only the most popular Intel MKL configuration on 64-bit Linux/macOS/Windows operating systems for C.

    This table describes the Intel MKL pkg-config metadata files provided and the Intel MKL configurations that they cover.

  • C/C++
  • Fortran
  • Advanced
  • Beginner
  • Intermediate
  • Intel® Math Kernel Library
  • Intel MKL pkg-config metadata files
  • Introduction to Hyperscan

    Hyperscan, a high-performance, open source regex matching library from Intel, supports PCRE syntax, simultaneous matching of regex groups, and streaming operations. Suitable for DPI,IDS, IPS, and firewalls, and has been deployed in network security solutions worldwide. Hyperscan is integrated with DPDK, where its performance can reach wire speed and at larger packets sizes.
  • Networking
  • Network Functions Virtualization (NFV)
  • Software Defined Networking (SDN)
  • Getting started with the Intel® AI Devcloud

    Hello all! Happily, this article refers to the newly accessible Intel® AI Devcloud! If you don't have access, sign up for it now. 

    If you don't know anything about it, it's a server cluster consisting of Intel® Xeon® Scalable processors, primed for all your machine learning and deep learning needs. It's also pre-loaded with these frameworks and libraries:

    neon™ framework

  • Professional
  • Professors
  • Students
  • Linux*
  • Artificial Intelligence
  • Python*
  • Beginner
  • devcloud
  • TensorFlow
  • Neon*
  • AI
  • Deep Learning
  • Academic
  • Cluster Computing
  • Machine Learning
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