- About
-
The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 751 to 760 of 10626 (0.063 seconds)| 751 |
Information discovery for interoperable autonomous database systemsZisman, Andrea January 1998 (has links)
No description available.
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| 752 |
A steroid profiling expert systemDybowski, Richard January 1989 (has links)
No description available.
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| 753 |
Proof methods and pragmatics for parallel programmingTofts, Chris January 1990 (has links)
No description available.
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| 754 |
Fully abstract models of programming languagesStoughton, Allen January 1986 (has links)
No description available.
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| 755 |
Generative grammars and the computer-aided composition of musicHoltzman, Steven R. January 1980 (has links)
No description available.
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| 756 |
Content addressable memory : design and usage for general purpose computingBlair, Gerard M. January 1986 (has links)
No description available.
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| 757 |
Data abstraction and the correctness of modular programmingSchoett, Oliver January 1986 (has links)
No description available.
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| 758 |
Summarizing video for improved navigation and browsingMacer, Peter James January 1998 (has links)
No description available.
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| 759 |
Assessing the Suitability of Python as a Language for Parallel ProgrammingKohli, Manav S 01 January 2016 (has links)
With diminishing gains in processing power from successive generations of hardware development, there is a new focus on using advances in computer science and parallel programming to build faster, more efficient software. As computers trend toward including multiple and multicore processors, parallel computing serves as a promising option for optimizing the next generation of software applications. However, models for implementing parallel programs remain highly opaque due to their reliance on languages such as Fortran, C, and C++. In this paper I investigate Python an option for implementing parallel programming techniques in application development. I analyze the efficiency and accessibility of MPI for Python and IPython Parallel packages by calculating in parallel using a Monte Carlo simulation and comparing their speeds to the sequential calculation. While MPI for Python offers the core functionality of MPI and C-like syntax in Python, IPython Parallel's architecture provides a truly unique model.
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| 760 |
Orthogonal persistence : an abstract representation of persistent storage in Algol-like languagesCockshott, William Paul January 1982 (has links)
No description available.
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