JPL Technical Report Server

GPU lossless hyperspectral data compression system for space applications

Show simple item record

dc.contributor.author Keymeulen, Didier
dc.contributor.author Aranki, Nazeeh
dc.contributor.author Hopson, Ben
dc.contributor.author Kiely, Aaron
dc.contributor.author Klimesh, Matthew
dc.contributor.author Benkrid, Khaled
dc.date.accessioned 2015-03-04T00:02:59Z
dc.date.available 2015-03-04T00:02:59Z
dc.date.issued 2012-03-03
dc.identifier.citation 2012 IEEE Aerospace Conference, Big Sky, Montana, March 3-10, 2012 en_US
dc.identifier.clearanceno 12-0392
dc.identifier.uri http://hdl.handle.net/2014/44931
dc.description.abstract On-board lossless hyperspectral data compression reduces data volume in order to meet NASA and DoD limited downlink capabilities. At JPL, a novel, adaptive and predictive technique for lossless compression of hyperspectral data, named the Fast Lossless (FL) algorithm, was recently developed. This technique uses an adaptive filtering method and achieves state-of-the-art performance in both compression effectiveness and low complexity. Because of its outstanding performance and suitability for real-time onboard hardware implementation, the FL compressor is being formalized as the emerging CCSDS Standard for Lossless Multispectral & Hyperspectral image compression. The FL compressor is well-suited for parallel hardware implementation. A GPU hardware implementation was developed for FL targeting the current state-of-the-art GPUs from NVIDIA®. The GPU implementation on a NVIDIA® GeForce® GTX 580 achieves a throughput performance of 583.08 Mbits/sec (44.85 MSamples/sec) and an acceleration of at least 6 times a software implementation running on a 3.47 GHz single core Intel® Xeon™ processor. This paper describes the design and implementation of the FL algorithm on the GPU. The massively parallel implementation will provide in the future a fast and practical real-time solution for airborne and space applications. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012 en_US
dc.subject Massively Parallel Implementation en_US
dc.subject Data Compression en_US
dc.subject Hypespectral Data en_US
dc.subject Graphic Processor Units en_US
dc.title GPU lossless hyperspectral data compression system for space applications en_US
dc.type Preprint en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account