Performance of Hyperspectral Imaging Algorithms using Itanium Architecture

W. Lugo-Beauchamp, K. Cruz, C.L. Carvajal-Jiménez, and W. Rivera (Puerto Rico)


: Itanium, IA64, Remote Sensing,Hyperspectral Imaging, Image Classifiers, HP-MLIB


This paper describes the experiences and results on implementing a set of hyperspectral imaging analysis algorithms on the Itanium Processor Family. On Itanium architecture all instructions are transformed into bundles of instructions and these bundles are processed in a parallel fashion by the different functional units. Experimental results show that exploiting implicit parallelism and linking HP Mathematical LIBrary optimized for Itanium yield significant improvement in performance.

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