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High Performance Space Computing with System-on-Chip Instrument Avionics for Space-based Next Generation Imaging Spectrometers (NGIS).

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dc.contributor.author Keymeulen, Didier
dc.contributor.author Shin, Simon
dc.contributor.author Riddley, Jason
dc.contributor.author Klimesh, Matthew
dc.contributor.author Kiely, Aaron
dc.contributor.author Liggett, Elliott
dc.contributor.author Sullivan, Peter
dc.contributor.author Bernas, Michael
dc.contributor.author Ghossemi, Hamid
dc.contributor.author Flesch, Greg
dc.contributor.author Cheng, Michael
dc.contributor.author Dolinar, Sam
dc.date.accessioned 2020-05-29T07:02:27Z
dc.date.available 2020-05-29T07:02:27Z
dc.date.issued 2018-09-20
dc.identifier.citation 6th International Workshop on On-Board Payload Data Compression, Matera, Italy, September 20 - 21, 2018 en_US
dc.identifier.clearanceno 18-4957
dc.identifier.uri http://hdl.handle.net/2014/48659
dc.description.abstract The emergent technology of system-on-chip (SoC) devices promises lighter, smaller, cheaper, and more capable and reliable space electronic systems that could help to unveil some of the most treasured secrets in our universe. This technology is an improvement over the technology that is currently used in space applications, which lags behind state-of-the-art commercial-off-the-shelf (COTS) equipment by several generations. SoC technology integrates all computational power required by next-generation space exploration science instruments onto a single chip. This presentation will describe a Xilinx Zynq-based data acquisition, cloud-screening and compression computing system that has been developed at the Jet Propulsion Laboratory (JPL) for JPL’s Next Generation Imaging Spectrometers (NGIS). The Xilinx Zynq-based Alpha Data hardware assembly fits into a 120mm by 190m by 40mm assembly and uses 9 watts at peak performance. The computing element is a Xilinx Zynq Z7045Q which includes a Kintex-7 FPGA (equivalent to 3 RAD Virtex5 FPGAs in terms of logic cell resources) and dual-core ARM Cortex-A9 Processors (equivalent to 10 RAD750 Power PCs in term of processing capability). 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, 2018 en_US
dc.subject data compression en_US
dc.subject system-on-chip en_US
dc.subject hyperspectral imagers en_US
dc.title High Performance Space Computing with System-on-Chip Instrument Avionics for Space-based Next Generation Imaging Spectrometers (NGIS). en_US
dc.type Preprint en_US


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