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Arbitrary Vertex
The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform
P.k. Chan – 1st expert on this subject based on the ideXlab platform

Multilevel spectral hypergraph partitioning with Arbitrary Vertex sizes
IEEE Transactions on ComputerAided Design of Integrated Circuits and Systems, 1999CoAuthors: J.y. Zien, M.d.f. Schlag, P.k. ChanAbstract:This paper presents a new spectral partitioning formulation which directly incorporates Vertex size information by modifying the Laplacian of the graph. Modifying the Laplacian produces a generalized eigenvalue problem, which is reduced to the standard eigenvalue problem. Experiments show that the scaled ratiocut costs of results on benchmarks with Arbitrary Vertex size improve by 22% when the eigenvectors of the Laplacian in the spectral partitioner KP are replaced by the eigenvectors of our modified Laplacian. The inability to handle Vertex sizes in the spectral partitioning formulation has been a limitation in applying spectral partitioning in a multilevel setting. We investigate whether our new formulation effectively removes this limitation by combining it with a simple multilevel bottomup clustering algorithm and an iterative improvement algorithm for partition refinement. Experiments show that in a multilevel setting where the spectral partitioner KP provides the initial partitions of the most contracted graph, using the modified Laplacian in place of the standard Laplacian is more efficient and more effective in the partitioning of graphs with Arbitrarysize and unitsize vertices; average improvements of 17% and 18% are observed for graphs with Arbitrarysize and unitsize vertices, respectively. Comparisons with other ratiocut based partitioners on hypergraphs with unitsize as well as Arbitrarysize vertices, show that the multilevel spectral partitioner produces either better results or almost identical results more efficiently.

multi level spectral hypergraph partitioning with Arbitrary Vertex sizes
International Conference on Computer Aided Design, 1996CoAuthors: J.y. Zien, M.d.f. Schlag, P.k. ChanAbstract:This paper presents a new spectral partitioning formulation which directly incorporates Vertex size information by modifying the Laplacian of the graph. Modifying the Laplacian produces a generalized eigenvalue problem, which is reduced to the standard eigenvalue problem. Experiments show that the scaled ratiocut costs of results on benchmarks with Arbitrary Vertex size improve by 22% when the eigenvectors of the Laplacian in the spectral partitioner KP are replaced by the eigenvectors of our modified Laplacian. The inability to handle Vertex sizes in the spectral partitioning formulation has been a limitation in applying spectral partitioning in a multilevel setting. We investigate whether our new formulation effectively removes this limitation by combining it with a simple multilevel bottomup clustering algorithm and an iterative improvement algorithm for partition refinement. Experiments show that in a multilevel setting where the spectral partitioner KP provides the initial partitions of the most contracted graph, using the modified Laplacian in place of the standard Laplacian is more efficient and more effective in the partitioning of graphs with Arbitrarysize and unitsize vertices; average improvements of 17% and 18% are observed for graphs with Arbitrarysize and unitsize vertices, respectively. Comparisons with other ratiocut based partitioners on hypergraphs with unitsize as well as Arbitrarysize vertices, show that the multilevel spectral partitioner produces either better results or almost identical results more efficiently.

ICCAD – Multilevel spectral hypergraph partitioning with Arbitrary Vertex sizes
, 1996CoAuthors: J.y. Zien, M.d.f. Schlag, P.k. ChanAbstract:This paper presents a new spectral partitioning formulation which directly incorporates Vertex size information by modifying the Laplacian of the graph. Modifying the Laplacian produces a generalized eigenvalue problem, which is reduced to the standard eigenvalue problem. Experiments show that the scaled ratiocut costs of results on benchmarks with Arbitrary Vertex size improve by 22% when the eigenvectors of the Laplacian in the spectral partitioner KP are replaced by the eigenvectors of our modified Laplacian. The inability to handle Vertex sizes in the spectral partitioning formulation has been a limitation in applying spectral partitioning in a multilevel setting. We investigate whether our new formulation effectively removes this limitation by combining it with a simple multilevel bottomup clustering algorithm and an iterative improvement algorithm for partition refinement. Experiments show that in a multilevel setting where the spectral partitioner KP provides the initial partitions of the most contracted graph, using the modified Laplacian in place of the standard Laplacian is more efficient and more effective in the partitioning of graphs with Arbitrarysize and unitsize vertices; average improvements of 17% and 18% are observed for graphs with Arbitrarysize and unitsize vertices, respectively. Comparisons with other ratiocut based partitioners on hypergraphs with unitsize as well as Arbitrarysize vertices, show that the multilevel spectral partitioner produces either better results or almost identical results more efficiently.
Tomas Akeninemöller – 2nd expert on this subject based on the ideXlab platform

Automatic pretessellation culling
ACM Transactions on Graphics, 2009CoAuthors: Jon Hasselgren, Jacob Munkberg, Tomas AkeninemöllerAbstract:Graphics processing units supporting tessellation of curved surfaces with displacement mapping exist today. Still, to our knowledge, culling only occurs after tessellation, that is, after the base primitives have been tessellated into triangles. We introduce an algorithm for automatically computing tight positional and normal bounds on the fly for a base primitive. These bounds are derived from an Arbitrary Vertex shader program, which may include a curved surface evaluation and different types of displacements, for example. The obtained bounds are used for backface, view frustum, and occlusion culling before tessellation. For highly tessellated scenes, we show that up to 80p of the Vertex shader instructions can be avoided, which implies an “instruction speedup” of 5×. Our technique can also be used for offline software rendering.

Automatic pretessellation culling
ACM Transactions on Graphics, 2009CoAuthors: Jon Hasselgren, Jacob Munkberg, Tomas AkeninemöllerAbstract:Graphics processing units supporting tessellation of curved surfaces with displacement mapping exist today. Still, to our knowledge, culling only occurs after tessellation, that is, after the base primitives have been tessellated into triangles. We introduce an algorithm for automatically computing tight positional and normal bounds on the fly for a base primitive. These bounds are derived from an Arbitrary Vertex shader program, which may include a curved surface evaluation and different types of displacements, for example. The obtained bounds are used for backface, view frustum, and occlusion culling before tessellation. For highly tessellated scenes, we show that up to 80% of the Vertex shader instructions can be avoided, which implies an “instruction speedup” of 5×. Our technique can also be used for offline software rendering.
Yan Wang – 3rd expert on this subject based on the ideXlab platform

Independent spanning trees on twisted cubes
Journal of Parallel and Distributed Computing, 2020CoAuthors: Yan Wang, Guodong ZhouAbstract:Multiple independent spanning trees have applications to fault tolerance and data broadcasting in distributed networks. There are two versions of the n independent spanning trees conjecture. The Vertex (edge) conjecture is that any nconnected (nedgeconnected) graph has n Vertexindependent spanning trees (edgeindependent spanning trees) rooted at an Arbitrary Vertex. Note that the Vertex conjecture implies the edge conjecture. The Vertex and edge conjectures have been confirmed only for nconnected graphs with n@?4, and they are still open for Arbitrary nconnected graph when n>=5. In this paper, we confirm the Vertex conjecture (and hence also the edge conjecture) for the ndimensional twisted cube TQ”n by providing an O(NlogN) algorithm to construct n Vertexindependent spanning trees rooted at any Vertex, where N denotes the number of vertices in TQ”n. Moreover, all independent spanning trees rooted at an Arbitrary Vertex constructed by our construction method are isomorphic and the height of each tree is n+1 for any integer n>=2.

An algorithm to construct independent spanning trees on parity cubes
Theoretical Computer Science, 2012CoAuthors: Yan Wang, He HuangAbstract:Independent spanning trees have applications in networks such as reliable communication protocols, onetoall broadcasting, reliable broadcasting, and secure message distribution. Thus, the designs of independent spanning trees in several classes of networks have been widely investigated. However, there is a conjecture on independent spanning trees: any nconnected graph has n independent spanning trees rooted at an Arbitrary Vertex. This conjecture still remains open for n>=5. In this paper, by proposing an algorithm to construct n independent spanning trees rooted at any Vertex, we confirm the conjecture on ndimensional parity cube PQ”n — a variant of ndimensional hypercube. Furthermore, we prove that all independent spanning trees rooted at an Arbitrary Vertex constructed by our construction method are isomorphic and the height of each tree is n+1 for any integer n>=2.

PAAP – An Algorithm to Find Optimal Independent Spanning Trees on TwistedCubes
2011 Fourth International Symposium on Parallel Architectures Algorithms and Programming, 2011CoAuthors: Yan WangAbstract:Multiple independent spanning trees have applications to fault tolerance and data broadcasting in distributed networks. There is a conjecture on independent spanning trees: any nconnected graph has n independent spanning trees rooted at an Arbitrary Vertex. The conjecture has been confirmed only for nconnected graphs with n=4, and it is still open for Arbitrary nconnected graphs when n ≥ 5. In this paper, we provide a construction algorithm to find n independent spanning trees for the ndimensional twistedcube TNn, where N denotes the number of vertices in TNn. And for n ≥ 3, the height of each indepen dent spanning tree on TNn is n+1.