Modeling synthetic aperture radar computation with Aspen

Authors:
Kyle Spafford;Jeffrey S. Vetter;Thomas Benson;Mike Parker
Affiliations:
Oak Ridge National Laboratory, Oak Ridge, TN, USA;Oak Ridge National Laboratory, Oak Ridge, TN, USA;Georgia Tech Research Institute, Atlanta, GA, USA;NVIDIA, Santa Clara, CA, USA
Venue:
International Journal of High Performance Computing Applications
Year:
2013

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Abstract

This case study presents an analytical performance model for the DARPA UHPC streaming sensor challenge problem developed using Aspen, a domain-specific language for performance modeling. The model focuses on the exploration of algorithmic tradeoffs, data structures and storage, and the impact of an important tiling factor in the image formation kernel of a synthetic aperture radar image-processing computation.