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Intel® Hardware-Based Technologies for Intelligent Systems

Discover hardware-based technologies that lower costs, increase security, and simplify the management of intelligent systems. (v.1, Aug. 2013)

Packet Processing is Enhanced with Software from Intel® DPDK

Improvements to multi-core architecture make packet processing viable on Intel® processors, resulting in high performance and reduced hardware costs.

Signal Processing: Simplify with Intel® SPDK

Improvements to multi-core architecture make signal processing viable on Intel® processors, resulting in superior parallelism performance.

Deep Packet Inspection: Intel® Architecture Delivers Flexibility

Multi-core Intel® processors deliver high performance, scalability, flexibility, and security for deep packet inspection (DPI).

Simics* Simulation Technology Accelerates Development

Wind River Simics* full system simulation technology builds virtual systems even before hardware is available, reducing time to market and costs.

Communications Infrastructure: Consolidation for Higher Throughput

Platforms that execute multiple workloads help meet the growing demand of communications infrastructure with superior throughput and performance.

Cedarview Norco B3 Board Platform Intel® BLDK: Release Notes

Release Notes: Cedarview Norco B3 Intel® Boot Loader Development Kit release notes provide overview of kit, features, configuration, issues, and more.

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Intel® Xeon® Processor E5-2600 Series for Intelligent Systems

Platform Brief: Ideal for Intelligent Systems, the security-focused embedded platform enables device connectivity to networks, clouds, and each other.

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Signal Processing: Simplify with Signal Processing Development Kit

Improvements to multi-core architecture make signal processing viable on Intel® processors, resulting in superior parallelism performance.

Data Plane Development Kit Power Optimization on Advantech* Network Appliance Platform: White Paper

This white paper includes an analysis of the system-level configuration impact on platform power consumption. (v.1, Dec. 2015)

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