Performance and Energy Evaluation of SAR Reconstruction on Intel Knights Landing
| Autor: | Tania Banerjee, Mark S. Schmalz, Sartaj Sahni, Sanjay Ranka, Adeesha Wijayasiri |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Synthetic aperture radar
Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Parallel algorithm 02 engineering and technology Energy consumption Ivy Bridge Load balancing (computing) 01 natural sciences 020202 computer hardware & architecture Computational science Software 0103 physical sciences 0202 electrical engineering electronic engineering information engineering business 010303 astronomy & astrophysics Back projection |
| Zdroj: | IGSC |
| DOI: | 10.1109/igcc.2018.8752136 |
| Popis: | The reconstruction of nxn-pixel Synthetic Aperture Radar (SAR) imagery using a Back Projection algorithm incurs O(n2 · m) cost, where n2 is the number of pixels and m is the number of pulses. We have developed parallel algorithms and software for constructing multi-resolution SAR images on many-core architectures. We also develop load balancing algorithms for distributing workload to the available cores, thereby optimizing performance and energy. We evaluate the performance of our algorithms and the resulting energy consumption on an Intel Knights Landing (KNL) processor. We also present a comparison of execution time and energy between KNL, Ivy Bridge and Tesla K40m processors. |
| Databáze: | OpenAIRE |
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