Scalable Computing

Synthetic Aperture Radar image (channels: HH-VV HV HH+HV) of Gabon's Akanda National Park and city of Libreville (March 6, 2016). This false color composite reveals the dominant structure of the landscape. Areas by color: red and pink are flooded vegetation and urban areas, while green is forests and mangroves. Courtesy NASA/JPL-Caltech

Accelerating SAR Image Formation and Processing

UDRI’s Scalable Computing researchers work in Synthetic Aperture Radar (SAR) processing acceleration, which leverages the latest available advanced computing hardware and languages to accelerate SAR image formation and processing.

We also conduct research on Arrays at Commercial Timescale (ACT). This involves developing interface logic on Field Programmable Gate Array (FPGA) devices (Ethernet, other controllers) to allow the Air Force Research Laboratory (AFRL) to conduct thorough testing on digital radiofrequency (RF) modules.

In addition, our Scalable Computing researchers conduct high-performance language development. We test hardware development languages based on C/C++, OpenCL, and MATLAB to implement a wide variety of signal processing algorithms in FPGAs and Graphics Processing Units (GPUs) (two types of common high-performance hardware).

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Top: Synthetic Aperture Radar image (channels: HH-VV HV HH+HV) of Gabon's Akanda National Park and city of Libreville (March 6, 2016). This false color composite reveals the dominant structure of the landscape. Areas by color: red and pink are flooded vegetation and urban areas, while green is forests and mangroves. Courtesy NASA/JPL-Caltech

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University of Dayton Research Institute


300 College Park
Dayton, Ohio 45469 - 7759
937-229-2113
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