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Scan Large Data Volumes Fast with Hyperscan Open-Source Software

Presentation: Hyperscan is an open-source software pattern matching library that is ideal for applications that scan large data volumes at high speed.

Content Inspection Performance with Hyperscan on Intel® Processors

Brief: Describes content inspection performance benchmark data and Hyperscan’s ability to deliver scalable pattern matching on Intel® architecture.

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Virtualizing Suricata* IPS Using Hyperscan Pattern Matching

Brief provides performance benchmark data demonstrating the scalable pattern matching performance HyperScan delivers when combined with Suricata*.

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The Face of Commitment: Mining Conflict-Free Minerals

Intel’s commitment to a responsible and humane supply chain ensures only conflict-free minerals end up in the processors you use every day.

Intel Supports Eastern Congo Families and Conflict-Free Minerals

Intel is committed to supporting miners in eastern Congo with a responsible supply chain that ensures devices are made using conflict-free minerals.

A Commitment to Conflict-Free Minerals for a Stable Future

Intel creates a conflict-free supply chain for minerals that contributes to the stable future of workers and technology consumers.

HyperScan Helps Deliver 36 Gbps Deep Packet Inspection Throughput

Solution brief: HyperScan pattern matching software scales with Intel® architecture to optimize deep packet inspection performance and throughput.

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HyperScan—High-Performance Regular Expression Matching Engine

White Paper: Deploy HyperScan on Intel® processors to match large groups of regular expressions against blocks or streams of data. (v.1, Oct. 2013)

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Technology and the future music festival

From Beatlemania to Holograms, Silicone Bracelets and Power-Charging Bulls: The evolution of the live music experience

Compliance Solutions for Regulated Environments, VMUG Webcast

VMWare* webcast discusses the challenges of compliance solutions for regulated environments and a solution based on Compliance Reference Architecture.