data partitioningVLSI circuit designIn this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe for parallel coarsening, parallel greedy k-way re
We thus propose a multi-objective hypergraph partitioning model for parallel computing, which can take into account the above factors that are not captured by the hyperedge-cut-based cost metric. Moreover, freely adjustable weighting parameters in the model also promote a flexible treatment of ...
Following the principles of smart industry and industry 4.0, many advanced manufacturing companies aim to have a “lights-out factory” that automatically controls activities, operations, and material flow on the shop floor, with minimal human interference. However, aside from the enhanced focus on ...
Specifically, the proposed approach is based on large margin structured output learning, and the visual consistency is integrated with the click features through a hypergraph regularizer term. Furthermore, the authors also devised a Hierarchical Deep Word Embedding model by integrating sparse constraints ...
Devine, K.D., Boman, E.G., Heaphy, R.T., Bisseling, R.H., Catalyurek, U.V.: Par- allel Hypergraph Partitioning for Scientific Computing. In: Proc. of 20th Interna- tional Parallel and Distributed Processing Symposium (2006) 14. Thornquist, H.K., et al.: A Parallel ...
3 shows that, even if G is series–parallel, the flow hypergraph of (G,R), that is the pair (E,F), is neither binary, nor balanced(see [21, p. 1439] for a definition). Proposition 5.8 shows that the equality νflow=τflow and the equality max-multicut = min-mflowloss are ...
We first map the Petri net to a hypergraph, and then partition the hypergraph to minimize interprocessor communication while maintaining a good load balance; Based on the partition result, we divide the differential equations into several blocks; Finally, we design a parallel computing algorithm to...
TRIFUNOVI A,KNOTTENBELT W J.Parallel multilevel algorithms for hypergraph partitioning.Journal of Parallel and Distributed Computing. 2008TRIFUNOVI A,KNOTTENBELT W J. Parallel multilevel algorithms for hypergraph partitioning[J]. Journal of Parallel and Distributed Computing,2008 ,68( 4) : 563-581...
Schwartz. Brief announce- ment: Hypergraph partitioning for parallel sparse matrix-matrix mul- tiplication. In Proceedings of the 27th ACM on Symposium on Paral- lelism in Algorithms and Architectures, SPAA '15, pages 86-88, New York, NY, USA, 2015. ACM. ISBN 978-1-4503-3588-1. . URL...
FIG. 4A is a flow chart illustrating an example of a process 400 that may be performed by the evaluator 306, the optimizer 308, and the executor 310. Based on a data parallel pipeline that includes multiple parallel data objects and multiple parallel data operations that operate on the ...