The defense and intelligence community heavily relies on accurate and timely information in its strategic and day-to-day operations. Intelligence gathering and assessment are essential parts of these activities that comprises of data coming from a number of diverse sources such as satellites, UAVs, surveillance cameras, and radar. Converting the raw data collected from such diverse sources into actionable information requires a significant infrastructure. GPUs represent a “game changing” technology that dramatically increases productivity while reducing cost, power, and facilities use.

In the following charts, we highlight work completed on NPP and CuFFT.

Learn about GPU-accelerated Defense applications and more by visiting www.nvidia.com/teslaapps.

Key areas where GPUs are already showing significantly improved performance are:

Image Processing: The role of image processing is expanding for defense and intelligence. The amount of imagery available today is unprecedented. For example, geo-spatial imagery available through satellites already covers the earth’s surface five-fold. There are also over 100 million images of fingerprints stored in the FBI database. GPUs accelerate the image processing workflow including georectification, filtering algorithms, change detection, and 3D reconstruction.

Persistent Video Surveillance: Specialists predict that the global video surveillance market will exceed $25 billion by 2016. Additionally each month, the Department of Defense collects more than 10,000 hours of aerial surveillance video in Afghanistan and Iraq. These videos must be processed and analyzed in real time. GPUs represent a great tool to archive real time performance for video processing and analytics algorithms.

Signal Processing: The capabilities of modern sensors continue to grow. Making use of information collected from these sensors demands increasing computing capabilities. GPUs are providing a step function in processing speed necessary to keep up with sensor capabilities providing an opportunity for real time integration of sensor data with other data sources to better understand the complex environments our defense teams now operate in.

Products

• Tesla K10 GPU Computing Accelerator – Optimized for single precision applications, powered by 2 ultra-efficient GK104 Kepler GPUs.
• Tesla K20 GPU Computing Accelerator – Designed for double precision applications. Features Hyper-Q and Dynamic Parallelism.
• Learn more about other Tesla GPU Computing Solutions

Case Studies

• Digital Globe: Accelerating Disaster Relief Efforts
• OpCoast: Modeling Radio Jammer Effectiveness