Alan Gibbons


Communication Efficient Parallel Algorithms for Optimization on Manifolds Bayan Saparbayeva Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre Dame, Indiana 46556, USA [email protected] Michael Minyi Zhang Department of Computer Science Princeton University Princeton, New Jersey 08540, USA [email protected] Lizhen Lin Department … Efficient Parallel Scan Algorithms for GPUs | Research

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9780521388412 ISBN
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Sofya Voigtuh

EFFICIENT PARALLEL ALGORITHMS FOR FUNCTIONAL The algorithms are efficient based on the transitive closure bottleneck phenomenon [7] that is, any improvement in the time and processor complexity of the transitive closure algorithm will result in an improvement by the same amount for the algorithms presented here. Keywords and Phrases: relational databases, functional dependency, non-redundant cover, minimal cover, minimum cover, parallel

Mattio Müllers

31/01/2014 · Efficient sequential and parallel algorithms for planted motif search. Nicolae M(1), Rajasekaran S. Author information: (1)Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA. [email protected] BACKGROUND: Motif searching is an important step in the detection of rare events occurring in a set of DNA or protein sequences. One …

Noels Schulzen

Two efficient parallel algorithms for computing the forward dynamics for real-time simulation were developed for implementation on a single-instruction mul. Work efficient parallel algorithms for large graph exploration. Abstract: Graph algorithms play a prominent role in several fields of sciences and engineering.

Jason Leghmann

Efficient Parallel Algorithms for Closest Point Problems by Peter Su, Ph.D. Thesis Advisor: Scot Drysdale. Department of Mathematics and Computer Science.

Jessica Kolhmann

In this paper efficient parallel algorithms for the binary dilation and erosion are presented and evaluated for an advanced associative processor. Simulation results indicate that the achieved speedup is linear. Published in: Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000 . Article #: Date of Conference: 1-5 May 2000 Date Added to IEEE Xplore: 06