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3-D GPU Based Real Time Diffuse Optical Tomographic System

Saikia, Manob Jyoti and Rajan, K and Vasu, RM (2014) 3-D GPU Based Real Time Diffuse Optical Tomographic System. In: 4th IEEE International Advance Computing Conference (IACC), FEB 21-22, 2014, ITM Univ, Gurgaon, INDIA, pp. 1099-1103.

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3-Dimensional Diffuse Optical Tomographic (3-D DOT) image reconstruction algorithm is computationally complex and requires excessive matrix computations and thus hampers reconstruction in real time. In this paper, we present near real time 3D DOT image reconstruction that is based on Broyden approach for updating Jacobian matrix. The Broyden method simplifies the algorithm by avoiding re-computation of the Jacobian matrix in each iteration. We have developed CPU and heterogeneous CPU/GPU code for 3D DOT image reconstruction in C and MatLab programming platform. We have used Compute Unified Device Architecture (CUDA) programming framework and CUDA linear algebra library (CULA) to utilize the massively parallel computational power of GPUs (NVIDIA Tesla K20c). The computation time achieved for C program based implementation for a CPU/GPU system for 3 planes measurement and FEM mesh size of 19172 tetrahedral elements is 806 milliseconds for an iteration.

Item Type: Conference Proceedings
Series.: IEEE International Advance Computing Conference
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: 3-D DOT; GPU; CUDA; CULA; Jacobian update; Diffusion Equation
Department/Centre: Division of Physical & Mathematical Sciences > Physics
Date Deposited: 20 Apr 2015 06:35
Last Modified: 20 Apr 2015 06:35
URI: http://eprints.iisc.ac.in/id/eprint/51175

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