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Parallel algorithms promise reductions in execution time and open the door to solve increasingly larger problems. But parallel platforms also inspire new bio- ...
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Parallel and Distributed Computational Intelligence
Book
The growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research. ... Google Books
Originally published: January 6, 2010
Editors: Erick Cantú-Paz and Francisco Fernández de Vega
Nov 3, 2024 · Parallel computing is suitable for accelerating computations of a single machine or clustered machines, with emphasis on the rate of processing.
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Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work.
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The growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research.
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Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.
Parallel and Distributed Computing. Personnel. Maria Hybinette. Associate Professor of Computer Science. In Kee Kim. Associate Professor of Computer Science.
William B. Langdon: Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units.
Parallel Distributed Processing (PDP), a computational methodology with origins in Associationism, is used to provide empirical information regarding ...
Jul 3, 2024 · Parallel computing, also known as parallel programming, is a process where large compute problems are broken down into smaller problems that can be solved ...
Traditional computation is driven by parallel accelerators or distributed computation nodes in order to improve computing performance, save energy, ...