S. G. Akl. Nonlinearity, maximization and parallel real-time computation. In Proceedings of the Twelfth Conference on Parallel and Distributed Computing and Systems, pages 31--36, Las Vegas, Nevada, November 2000. Home/Search Document Not in Database Summary Related Articles Check |
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Locating The Median Of A Tree In Real Time - Nagy, Akl (2001) Self-citation (Akl) (Correct)
....these cases is possible during one time interval. From another perspective, the paper confirms that the classic approach in measuring the performance of a parallel algorithm (namely, by analyzing the speedup achieved) is not appropriate for real time paradigms of the type defined herein (see also [4, 2, 3, 5, 6, 7, 8]) The true superiority of a parallel algorithm over its sequential counterpart, in the real time area, can be fully exposed only if alternative performance measures are employed. These include the generated error and the quality up, as defined in Sections 3 and 4, respectively. 15 It is also ....
S. G. Akl. Nonlinearity, maximization and parallel real-time computation. In Proceedings of the Twelfth Conference on Parallel and Distributed Computing and Systems, pages 31--36, Las Vegas, Nevada, November 2000.
The Maximum Flow Problem: A Real-Time Approach - Nagy, Akl (2001) (1 citation) Self-citation (Akl) (Correct)
....time constraints. The input is not all available at the beginning and arrives during the computation. Output has to be produced before a deadline. Depending on the input data arrival law and the output time constraints, different sub paradigms have been defined and studied for different problems [1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 25]. The real time maximum flow problem, as defined in this paper, is a variant of the data accumulating paradigm [8] and the data correcting paradigm [12] The initial data undergo small adjustments during the computation. The initial flow network N = G = V; E) c; s; t) together with the already ....
S. G. Akl. Nonlinearity, maximization and parallel real-time computation. In Proceedings of the 12th Conference on Parallel and Distributed Computing and Systems, pages 31--36. Las Vegas, Nevada, Nov. 2000.
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