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GPU Applications

NVIDIA GeoInt Accelerator, Faster Insights for the Geospatial Intelligence Analyst

GPU accelerators run Geospatial Intelligence (GeoInt) applications 10x faster over CPU-only solutions. Acceleration enables new image and video processing capabilities:

  • Faster processing of large volumes of imagery from satellite and UAVs
  • Real-time object and face recognition in full-motion video

Benchmark

 

Applications on GPUs

Several GeoInt applications are already GPU accelerated delivering results more than 10x faster.

 
Luciad video
Luciad video
Geospatial situational awareness, 75x faster line-of-sight calculations
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SRIS case study
SRIS case study
Real-time geospatial image processing, 72x faster with GPUs
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DigitalGlobe case study
DigitalGlobe case study
Satellite image processing, 12x faster orthorectification
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intuVision case study
intuVision case study
Object tracking and event-driven alerts by processing video streams, 12x faster object tracking
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Run your application on GPUs

Speed up your application by getting started with parallel programming on GPU accelerators.

 
Intro to GPU computing
Intro to GPU computing
Learn why GPU+CPU systems are faster than CPU only and learn how you can start programing with GPUs.
View Video >
Approaches to GPU computing
Approaches to GPU computing
Start with drop in libraries already accelerated for GPUs including, cuFFT, OpenCV, MATLAB and much more.
View Video >

Get Started

Sign Up To:

  • Download libraries and tools
  • Register for GeoInt technical webinars
  • Get Access to GPUs
Sign Up Now

Start Exploring Today

See How GPUS can changes your Geoint Capabilities

  • Download libraries and tools
  • Register for GeoInt technical webinars
  • Get Access to GPUs
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