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Advisor(s)
Abstract(s)
In this paper, we develop a fast implementation of an hyperspectral coded aperture (HYCA) algorithm on different platforms using OpenCL, an open standard for parallel programing on heterogeneous systems, which includes a wide variety of devices, from dense multicore systems from major manufactures such as Intel or ARM to new accelerators such as graphics processing units (GPUs), field programmable gate arrays (FPGAs), the Intel Xeon Phi and other custom devices.
Our proposed implementation of HYCA significantly reduces its computational cost. Our experiments have been conducted using simulated data and reveal considerable acceleration factors. This kind of implementations with the same descriptive language on different architectures are very important in order to really calibrate the possibility of using heterogeneous platforms for efficient hyperspectral imaging processing in real remote sensing missions.
Description
Keywords
Hyperspectral imaging Compressive sensing CS Coded aperture High performance computing HPC OpenCL
Citation
BERNABÉ, Sergio; [et al] - A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCL. EUROCON 2015 - International Conference on Computer as a Tool. ISBN 978-1-4799-8569-2. pp. 1-6, 2015
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.