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DRVBLD: a UNIX Device Driver Builder

Description: New peripheral devices are being developed at an ever increasing rate. Before such accessories can be used in the UNIX environment (UNIX is a trademark of Bell Laboratories), they must be able to communicate with the operating system. This involves writing a device driver for each device. In order to do this, very detailed knowledge is required of both the device to be integrated and the version of UNIX to which it will be attached. The process is long, detailed and prone to subtle problems and errors. This paper presents a menu-driven utility designed to simplify and accelerate the design and implementation of UNIX device drivers by freeing developers from many of the implementation specific low-level details.
Date: May 1992
Creator: Cano, Agustin F.
Partner: UNT Libraries

A Neural Network Configuration Compiler Based on the Adaptrode Neuronal Model

Description: A useful compiler has been designed that takes a high level neural network specification and constructs a low level configuration file explicitly specifying all network parameters and connections. The neural network model for which this compiler was designed is the adaptrode neuronal model, and the configuration file created can be used by the Adnet simulation engine to perform network experiments. The specification language is very flexible and provides a general framework from which almost any network wiring configuration may be created. While the compiler was created for the specialized adaptrode model, the wiring specification algorithms could also be used to specify the connections in other types of networks.
Date: December 1992
Creator: McMichael, Lonny D. (Lonny Dean)
Partner: UNT Libraries

A New Framework for Classification and Comparative Study of Congestion Control Schemes of ATM Networks

Description: In our work, we have proposed a new framework for the classification and comparative study of ATM congestion control schemes. The different aspects on which we have classified the algorithms are control theoretic approach, action and congestion notification. These three aspects present of the classification present a coherent framework on which congestion control algorithms are to be classified. Such a classification will also help in developing new algorithms.
Date: May 1996
Creator: Chandra, Umesh, 1971-
Partner: UNT Libraries

Efficient Linked List Ranking Algorithms and Parentheses Matching as a New Strategy for Parallel Algorithm Design

Description: The goal of a parallel algorithm is to solve a single problem using multiple processors working together and to do so in an efficient manner. In this regard, there is a need to categorize strategies in order to solve broad classes of problems with similar structures and requirements. In this dissertation, two parallel algorithm design strategies are considered: linked list ranking and parentheses matching.
Date: December 1993
Creator: Halverson, Ranette Hudson
Partner: UNT Libraries