Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
As a starting point of this paper we present a problem from mammographic image processing. We show how it can be formulated as an optimal control problem for PDEs and illustrate that it leads to penalty terms which are nonstandard in the theory of optimal control of PDEs. To solve this control problem we use a generalization of the conditional gradient method which is especially suitable for non-convex problems. We apply this method to our control problem and illustrate that this method also covers the recently proposed method of surrogate functional from the theory of inverse problems. Graphics processing units (GPUs) are becoming an increasingly popularplatform to run applications that require a high computation throughput.They are limited, however, by memory bandwidth and power and, assuch, cannot always achieve their full potential. This paper presents thePUMA architecture - a domain-specific accelerator designed specificallyfor medical imaging applications, but with sufficient generality to makeit programmable. The goal is to closely match the performance achievedby GPUs in this domain but at a fraction of the power consumption. Theresults are quite promising - PUMA achieves upto 2X the performance of a modern GPU architecture and has up to a 54X improved efficiency on a floating-point and memory-intensive MRI reconstruction algorithm.
Authors and Affiliations
Himadri Nath Moulick
Keywords
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