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Simplifying Sensor Data Processing With Advanced GPGPU Technology and COTS Building Blocks

December 20, 2017 | BY: Marc Couture

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The multiple sensors on today’s defense and aerospace platforms produce a veritable tsunami of data that must be processed quickly and efficiently to ensure mission success. Typically, these sensors are purpose built with proprietary or inflexible hardware and protocol interfaces that require specific processors to meet data processing requirements. As a result, system integrators must apply significant resources to achieve performance and functional compliance. This slows development and system integration, and often delays time to market.

Fortunately, existing and emerging standards are making it easier to leverage innovative, multi-vendor, open-architecture building blocks for rugged embedded solutions that deliver the required balance between Size, Weight, Power, and Cost (SWaP-C) for defense applications. With standards-based, pre-integrated, and prevalidated Commercial Off-The-Shelf (COTS) building blocks, integrators can reduce program risk, expedite development-to-deployment, and create quality, affordable High-Performance Embedded Computing (HPEC) systems (Figure 1).

Figure 1: Open Standard, Open Architecture HPEC System

Download the Simplifying Sensor Data Processing With Advanced GPGPU Technology and COTS Building Blocks white paper to learn more about

  • Open Standards progress to enable multi-vendor sensor processing integration
  • GPGPU product reseller agreement with WOLF Advanced Technology
  • Dolphin Interconnect Solutions Fabric Communication Library
  • Pre-integrated, pre-verified GPGPU accelerator and Curtiss-Wright CHAMP Xeon D processor modules
  • Expanding the All-to-All Architecture Ecosystem

Author’s Biography

Marc Couture

Senior Product Manager for Intel, Power Architecture, and GPGPU based Digital Signal Processors

Marc Couture is the Senior Product Manager for Intel, Power Architecture, and GPGPU based Digital Signal Processors in the ISR Solutions group at Curtiss-Wright. He has worked in the Embedded COTS industry for over 20 years having specialized in High Performance Embedded Computing and RF/Microwave technologies. Marc is a graduate of the University of Massachusetts Dartmouth with a Masters of Science in Electrical Engineering.

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