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GPU Lossless Hyperspectral Data Compression System for Space ApplicationsOn-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(Trademark). The GPU implementation on a NVIDIA(Trademark) GeForce(Trademark) 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(Trademark) Xeon(Trademark) 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.
Document ID
20150008712
Document Type
Conference Paper
External Source(s)
Authors
Keymeulen, Didier (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Aranki, Nazeeh (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Hopson, Ben (Edinburgh Univ. United Kingdom)
Kiely, Aaron (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Klimesh, Matthew (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Benkrid, Khaled (Edinburgh Univ. United Kingdom)
Date Acquired
May 21, 2015
Publication Date
March 3, 2012
Subject Category
Computer Systems
Computer Operations and Hardware
Meeting Information
2012 IEEE Aerospace Conference(Big Sky, MT)
Distribution Limits
Public
Copyright
Other
Keywords
Graphic Processor Units
Massively Parallel Implementation
Data Compression
Hypespectral Data