Title :
High performance computing for Optical Diffraction Tomography
Author :
Ortega, G. ; Lobera, J. ; Arroyo, M.P. ; García, I. ; Garzón, E.M.
Author_Institution :
Dept. of Comput. Archit. & Electron., Univ. of Almeria, Almeria, Spain
Abstract :
This paper analyses several parallel approaches for the development of a physical model of Non-linear ODT for its application in velocimetry techniques. The main benefits of its application in HPIV are the high accuracy with non-damaging radiation and its imaging capability to recover information from the vessel wall of the flow. Thus ODT-HPIV is suitable for microfluidic devices and biofluidic applications. Our physical model is based on an iterative method which uses double-precision complex numbers, therefore it has a high computational cost. As a result, High Performance Computing is necessary for both: implementation and validation of the model. Concretely, the model has been parallelized by means of different architectures: shared-memory multiprocessors and graphics processing units (GPU) using the CUDA device.
Keywords :
graphics processing units; iterative methods; light diffraction; medical image processing; microfluidics; optical tomography; parallel architectures; shared memory systems; CUDA device; ODT-HPIV; biofluidic applications; double-precision complex numbers; graphics processing units; high-performance computing; imaging capability; information recovery; iterative method; microfluidic devices; nondamaging radiation; nonlinear ODT; optical diffraction tomography; physical model; shared-memory multiprocessors; velocimetry technique; vessel wall; Atmospheric measurements; Computational modeling; Graphics processing unit; MATLAB; Mathematical model; Memory management; Multicore processing; High Performance Computing; Holographic Particle Image Velocimetry; Optical Diffraction Tomography; Reconstruction algorithms; multi GPU; multicore;
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2012 International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2359-8
DOI :
10.1109/HPCSim.2012.6266911
