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- W2045996937 abstract "Abstract The design of a parallel processor containing 60 32-bit processors with on-chip floating point hardware, 60 Mbytes of memory, hardware random number generation, and a high bandwidth, re- configurable interprocessor communications system is discussed. The system is especially well- suited to run Monte Carlo-based algorithms, such as simulated annealing, for optimization and estimation problems in nuclear medicine and other areas. Introduction In image reconstruction problems in nuclear medicine, as well as in optimization and estimation problems in many other areas, one wants to find a best estimate of some quantity. Often, it is either impossible or impractical to handle these problems with a straightforward deterministic algorithm. In such cases, there are a number of Monte Carlo-based methods which provide techniques for obtaining satisfactory solutions. Examples include simulated annealing14, genetic algorithms5, and others. Although these techniques are very powerful, they typically require very large amounts of computation for their effective use, and this has prevented them from being implemented on a widespread basis for many applications.A very attractive and cost-effective approach to providing the computational resources needed to execute these optimization methods rapidly is to use a combination of special-purpose hardware and microprocessor-based parallel processing. In this paper we present the design of a parallel processor that we have developed using such an approach." @default.
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- W2045996937 date "1989-05-25" @default.
- W2045996937 modified "2023-09-25" @default.
- W2045996937 title "TRIMM: A High Speed Parallel Processor For Optimization And Estimation Problems" @default.
- W2045996937 doi "https://doi.org/10.1117/12.953305" @default.
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