Jerry L. Potter

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Today's increased computing speeds allow conventional sequential machines to effectively emulate associative computing techniques. We present a parallel programming paradigm called ASC (ASsociative Computing), designed for a wide range of computing engines. Our paradigm has an efficient associative-based, dynamic memory-allocation mechanism that does not(More)
Gaussian decomposition of images leads to many promising applications in computer graphics. Gaussian representations can be used for image smoothing, motion analysis, and feature selection for image recognition. Furthermore, image construction from a Gaussian representation is fast, since the Gaussians only need to be added together. The most optimal(More)
This paper describes an initial design of an associative processor for implementation using field-programmable logic devices (FPLDs). The processor is based loosely on earlier work on the STARAN computer, but updated to reflect modern design practices. We also draw on a large body of research at Kent State on the ASC and MASC models of associative(More)
In a paper presented last year at WMPP'01 [Walker01], we described the initial prototype of an associative processor implemented using field-programmable logic devices (FPLDs). That paper presented an overview of the design, and concentrated on the processor's instruction set and its implementation using FPLDs. This paper describes the implementation of the(More)
This paper describes a system software design for multiple instruction stream control in a massively parallel associative computing environment. The purpose of providing multiple instruction stream control is to increase throughput and reduce the amount of parallel slackness inherent in single instruction stream parallel programming constructs. The Multiple(More)
– A Unified Modeling Language (UML) description of the BSP model of parallel computation is presented. This UML description identifies BSP classes and objects and specifies various object and inter-object relationships, dependencies, and behaviors. This was achieved by describing various views of the BSP model using many of the UML structural and behavioral(More)