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Real-time adaptive lossless hyperspectral image compression using CCSDS on Parallel GPGPU & multicore processor systems

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dc.contributor.author Hopson, Ben
dc.contributor.author Benkrid, Khaled
dc.contributor.author Keymeulen, Didier
dc.contributor.author Aranki, Nazeeh
dc.contributor.author Klimesh, Matt
dc.contributor.author Kiely, Aaron
dc.date.accessioned 2013-02-25T21:34:24Z
dc.date.available 2013-02-25T21:34:24Z
dc.date.issued 2012-06-25
dc.identifier.citation 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Nuremberg, Germany, June 25-28, 2012 en_US
dc.identifier.clearanceno 12-20092
dc.identifier.uri http://hdl.handle.net/2014/42774
dc.description.abstract The proposed CCSDS (Consultative Committee for Space Data Systems) Lossless Hyperspectral Image Compression Algorithm was designed to facilitate a fast hardware implementation. This paper analyses that algorithm with regard to available parallelism and describes fast parallel implementations in software for GPGPU and Multicore CPU architectures. We show that careful software implementation, using hardware acceleration in the form of GPGPUs or even just multicore processors, can exceed the performance of existing hardware and software implementations by up to 11x and break the real-time barrier for the first time for a typical test application. 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 Lossless en_US
dc.subject hyperspectral en_US
dc.subject image compression en_US
dc.subject adaptive filter en_US
dc.subject multicore en_US
dc.subject GPGPU en_US
dc.subject parallel en_US
dc.subject realtime en_US
dc.title Real-time adaptive lossless hyperspectral image compression using CCSDS on Parallel GPGPU & multicore processor systems en_US
dc.type Preprint en_US


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