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Extending the Data-Parallel Paradigm by Connected-Components Primitives

BIANCARDI, ALBERTO;
2002-01-01
2002
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
PARALLEL COMPUTING
sì
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
28 (7-8)
995
1021
Algoritmi di scheduling per sistemi real-time
Data-Parallel Paradigm; Connected-Components Primitives; Scheduling Algorithms
2
info:eu-repo/semantics/article
262
Biancardi, Alberto; Merigot, A.
1 Contributo su Rivista::1.1 Articolo in rivista
none
1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/135814
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