Parallel algorithm design for processor in memory (PIM) architectures

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Parallel computing involves using  many computers to cooperatively solve a given problem fast. Parallel computing has played a significant role in application areas such as weather forecasting, physics and chemistry.Applications  as broadly based as finance, biology and medicine are bringing new to high performance parallel computing research.One of the fundamental problems in parallel computer architecture is that while processor speed has increased dramatically over the past few years, increaes in memory speed have been only modest.To bridge the processor-memory gap,computer architects have proposed integrating memory logic, processor and interconnect support on a single chip, called Processor-in-Memor(PIM) chips.Many such PIM chips can be connected creating a cellular architecture to achieve the next generation of supercomputing machines.The question one asks is what are we going to do with these powerful supercomputers?One of the most important applications that can profit from leveraging the powerful resources of parallel computing is medical imaging. Determining the internal structure of an organism with sufficient detail to yield diagnostic information of a patient,is a first step before administering any procedure.Medical imaging is the process by which physicians evaluate an area of the patient's body that is not normally visible.There are many imaging techiniques such Computed Tomography (CT), magnetic resonance imaging (MRI) and positron emission tomgraphy (PET). This research concentrates on (CT).These techniques detect abnormalities in organs such as breasts.  The images in any of the imaging  techniques are large requiring large amount of storage space and need to be processed fast to make real time decisions on the patient. Initially, the proposed research will focus on CT and expand it to other imaging techniques. Therefore, the focus of this proposed research will be on the design and performance evaluation of sophisticated algorithms for medical imaging techniques on PIM arcitectures .