Multiparadigm Computing for Space-Based Synthetic Aperture Radar
ERSA(2008)
摘要
Abstract—Projected,computational,requirements,for future space,missions,are,outpacing,technologies,and,trends,in conventional,embedded,microprocessors.,In order to meet,the necessary levels of performance, new computing technologies are of increasing interest for space systems, such as reconfigurable devices and vector processing extensions. These new,technologies can,also,be,used,in,tandem,with,conventional,general- purpose,processors,in the form,of multiparadigm,computing. By using FPGA resources and AltiVec extensions, as well as MPI extensions for multiprocessor support, we explore possible hardware/software designs for a synthetic aperture radar application. Design of key components,of the SAR application including,range,compression,and,azimuth,compression,will be discussed, and hardware/software performance tradeoffs analyzed. The,performance,of,these,key,components,will be measured individually, as well as in the context of the entire application. Fault-tolerant versions of range and,azimuth compression,algorithms,are,proposed,and,their performance overhead,is evaluated. Our analysis compares,several possible multiparadigm systems, achieving up to 18 speedup while also adding,fault tolerance to a pre-existing SAR application.
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关键词
software design,software performance,space missions,fault tolerant,compression algorithm,synthetic aperture radar
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