Intel® Xeon® D: A Significant Leap Forward in General Purpose Processor (GPP) Technology Across the Spectrum of Defense Applications

January 30, 2018

The amount of processing that can be performed within the size, weight, power, and cost (SWaP-C) envelope of a defense system’s electronics payload has long been a limiting factor of mission capability. To maximize this performance, defense engineers have long used a mix of FPGAs, GPUs, and General-Purpose Processors (GPPs), but recent advances in the Intel® Xeon® system on chips (SoCs) D are rendering these heterogeneous architectures unnecessary while delivering unmatched signal processing power and efficiency.

In this white paper, aerospace and defense engineers will learn:

How Intel® Xeon® processors D enable performance and flexibility in military electronics payloads
Best practices for selecting an efficient signal processing module
Examples of how these solutions can be deployed in a mobile tactical server

First Name

Last Name

Your Company

Phone Number

Country/Region

Subscribe To Intel Updates

Subscribe To Alliance Partner Updates

By submitting a form on this site, you are confirming you are an adult 18 years or older and you agree to Intel and Intel® IoT Solutions Alliance members contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Intel's web sites and communications are subject to our Privacy Notice and Terms of Use.

I would like to be contacted by: - optional

Your contact request is submitted.

Error - something went wrong!

Return to Home

INDUSTRY

The latest design ideas, solutions, and trends

Intel® Xeon® D: A Significant Leap Forward in General Purpose Processor (GPP) Technology Across the Spectrum of Defense Applications

Previous Download

Next Article

Intel® Xeon® D: A Significant Leap Forward in General Purpose Processor (GPP) Technology Across the Spectrum of Defense Applications

Previous Download

Next Article

more on this this topic

As IoT devices become interconnected, they are at big risk of cyberattacks. Read how embedded designers can use virtual platforms to catch security vulnerabilities and quickly fix the problems.

Computer vision can solve quality audit (QA) problems for complex, varied products. See how electronics can make it part of their industry 4.0 transformation.

Cisco Live is one of the best places to learn about the latest in IoT. And now it’s virtual so you can attend from anywhere in the world.

Can a recipe-like approach make it easier to develop industrial AI-enabled applications? When it comes to smart factory visual quality inspection applications, the answer is “definitely.” Read how.

Are you testing your proof of concept with realistic network conditions? If not, your IoT project is at risk. See how smarter simulators save the day.

What can manufacturers learn from race cars? How to use AI for machine monitoring. Join us for a wild ride that covers everything from edge inferencing to sensor fusion.

What if there were a shortcut to the smart factory? Read how a new approach helps industrial organizations develop, deploy, and test applications on preconfigured solutions.

Defect detection requires multiple types of computer vision with different compute requirements. That’s why a platform with flexible combinations of CPUs, GPUs, and AI accelerators is so valuable.

How can manufacturers upgrade to the latest industrial PCs with the least impact on daily operations? Three software options lead the way. Read on to find out how.

What’s holding back the smart factory? A lack of AI-ready infrastructure. Here’s how an enterprise AI platform solves the problem by uniting everything from machine sensors to ERP systems.

How can manufactures achieve their vision of lights-out manufacturing? To start, capabilities must defined by software rather than hardware. Read how one company is making this a possibility.

How adaptable are AI and computer vision frameworks? Quite a bit, actually. Read how one company applied its city and traffic safety technologies to help make factories more safe and secure.

ROS is a great open source tool for building mobile robots. But it has its limitations. Read how a developer kit can cut programming time in half while offering vendor warranty and support.

Can manufacturers really get computer vision applications up and running with limited time and AI development expertise? Read how an AI-ready development kit provides the platform to do just that.

Workload consolidation in smart factories is not a luxury but a necessity. Yet even building a prototype application is costly and time-consuming. Read how an IIoT development kit gets you 90% there.

Need to plan your trip? Just curious about what’s to come? We’ve put together our top picks, selecting the very best from over 1,100 exhibitors and dozens of talks.