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Filtering by: Creator Cramer, David Alan Remove constraint Creator: Cramer, David Alan Academic Affiliation Computer Science Remove constraint Academic Affiliation: Computer Science Resource Type Technical Report Remove constraint Resource Type: Technical Report

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  • Computer science and computer engineering research equipment

    Creator:
    Tonge, Fred M.
    Abstract:
    This grant supported acquisition of a minicomputer system for departmental research. The equipment selected is a DEC VAX-11/750 system, installed in remodeled space in the Computer Science (formerly Farm Crops) Building. Grant funds for equipment acquisition were supplemented by support from the Tektronix Foundation. After completion of the physical facilities...
    Resource Type:
    Technical Report
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    Software. Geometric Graphics Package Participant: Alan J. Coppola The goal of this project is to

  • Variables and parameters as references and containers

    Creator:
    Crowl, Lawrence A.
    Abstract:
    Most designers of object-based languages adopt a reference model of variables without explicit justification, despite its wide ranging consequences. This paper argues that the traditional container model of variables is more efficient than the reference model, nearly as flexible, and more appropriate to parallel and distributed systems. The topics addressed...
    Resource Type:
    Technical Report
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    , Orlando, FL, January 1991. [Allen et al., 1987] Randy Allen, David Callahan, and Ken Kennedy, "Automatic

  • Parallel programming and designing in object oriented environment SS/1

    Creator:
    Choi, Sungwoon, Sturtevant, Tom, and Lewis, Ted G.
    Abstract:
    Parallel software development requires the flexibility to describe algorithms regardless of hardware specification, the ability to accommodate existing applications. and maintainability throughout the software life cycle. We propose the following model to address these issues. Our model incorporates aspects of the object-oriented and large grain data flow programming paradigms, and...
    Resource Type:
    Technical Report
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    , December 1986. [DiN85] David C. DiNucci, Robert G. Babb II, Design and Implementation of Parallel

  • Parallelizing WHILE loops

    Creator:
    Wu, Youfeng and Lewis, Ted G.
    Abstract:
    Two methods for parallelizing WHILE loops are presented. The first method converts a WHILE loop into a FORALL construct, and the second method pipelines a WHILE loop. Each of the methods is based on a transformation that makes explicit the loop counting. Also, we propose two parallel WHILE constructs.
    Resource Type:
    Technical Report
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    the 1986 International Conference on Parallel Processing. [KARP-88] Karp , Alan H. and Robert G

  • Control abstraction in parallel programming languages

    Creator:
    Crowl, Lawrence A. and LeBlanc, Thomas J.
    Abstract:
    Control abstraction is the process by which programmers define new control constructs by specifying an ordering of statement execution. Using control abstraction, we can create new control constructs for parallel programming, separate the specification of parallelism and synchronization from the rest of the application code, and vary the parallelism exploited...
    Resource Type:
    Technical Report
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    1990, Ph.D. Dissertation. [Alverson and Notkin, 1991] Gail A. Alverson and David Notkin, "Abstracting

  • A multiprocessor implementation of Little Smalltalk

    Creator:
    Budd, Timothy A. and Raghvendra, Srinivas
    Abstract:
    In this project we have attempted to exploit the parallel programming features of a Sequent Balance multiprocessor to improve the performance of a Smalltalk interpreter. The block construct and the fork message together make Smalltalk a 'natural' parallel programming language. We describe how processes can be created from within the...
    Resource Type:
    Technical Report
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    Research Group as a part of Alan Kay's Dynabook project [Kay77]. Smalltalk is built on the model of

  • Exploiting monotonicity via logistic regression in Bayesian network learning

    Creator:
    Restificar, Angelo C., Dietterich, Thomas Glen, and Oregon State University. Department of Computer Science
    Abstract:
    An important challenge in machine learning is to find ways of learning quickly from very small amounts of training data. The only way to learn from small data samples is to constrain the learning process by exploiting background knowledge. In this report, we present a theoretical analysis on the use...
    Resource Type:
    Technical Report
    Full Text:
    monotonicity in previous work. References [1] Alan Agresti and Christy Chuang. Bayesian and maximum