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关于小型联网数据包借助开源解决方案英特尔® DPDK 实现优化后可以获得出色优势的使用案例

英特尔® 数据平面开发套件(英特尔® DPDK)是一套优化的数据平面软件库和驱动程序,可用于加速英特尔® 架构上的数据包处理。 得益于处理器技术的改进,英特尔® DPDK 的出色性能从英特尔® 凌动™ 处理器成功扩展至英特尔® 至强™ 处理器。

Autor David Mulnix (Intel) Última actualización 06/07/2019 - 16:40
Article

Intel® Xeon® Processor E5-2600 v3 Accelerates Hadoop HDFS Encryption

The latest Intel® Xeon® processor with embedded Intel® Advanced Encryption Standard New Instructions (Intel® AES-NI) and the latest Cloudera distribution of Hadoop accele

Autor Nguyen, Khang T (Intel) Última actualización 06/07/2019 - 16:40
Article

Intel® Xeon® Processor E7-8800/4800 V3 Product Family Technical Overview

Contents

1.     Executive Summary 2.     Introduction

Autor Última actualización 06/07/2019 - 16:40
Video

Accelerate Time to Insight with Intel® Xeon® E7 v3 and SAP HANA*

Tim Allen, Intel Corp., explains how businesses can leverage their big data to make critical decisions faster, with Intel® Xeon® processor E7 v3 and SAP HANA®.

Autor admin Última actualización 21/03/2019 - 12:40
Video

In Memory Computing with Intel® Xeon® E7 v3 and SAP HANA*

Tim Allen, Intel Corp., discusses how together, the Intel® Xeon® processor E7 v3 family and SAP HANA® deliver transformative computing via in-memory computing, unlocking the full potential of growi

Autor admin Última actualización 06/07/2019 - 19:20
Video

Visualizing Big Data with Intel and Autodesk

Tim Allen, Intel Corp., discusses how the Intel® Xeon® processor E3 v4, together with Autodesk AutoCAD*, transforms workstations by providing breakthrough visualization of complex data without the

Autor admin Última actualización 06/07/2019 - 19:20
Article

Accelerating Secondary Genome Analysis Using Intel® Reference Architecture

The dramatic reduction in whole human genome sequencing costs, from USD 100 million per genome in 2001 to USD 4,500 per genome in 2014, combined with the increasing performance gains in computing t

Autor Mike P. (Intel) Última actualización 06/07/2019 - 16:40
Article

A Mission-Critical Big Data Platform for the Real-Time Enterprise

As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.
Autor Nguyen, Khang T (Intel) Última actualización 06/07/2019 - 16:40
Mensajes en el blog

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 20:00