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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/42774
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| Title: | Real-time adaptive lossless hyperspectral image compression using CCSDS on Parallel GPGPU & multicore processor systems |
| Authors: | Hopson, Ben
Benkrid, Khaled
Keymeulen, Didier
Aranki, Nazeeh
Klimesh, Matt
Kiely, Aaron |
| Keywords: | Lossless
hyperspectral
image compression
adaptive filter
multicore
GPGPU
parallel
realtime |
| Issue Date: | 25-Jun-2012 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. |
| Citation: | 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Nuremberg, Germany, June 25-28, 2012 |
| 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. |
| URI: | http://hdl.handle.net/2014/42774 |
| Appears in Collections: | JPL TRS 1992+
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