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PDP
2010
IEEE
13 years 11 months ago
On the Scalability of Hypergraph Models for Sparse Matrix Partitioning
Abstract—We investigate the scalability of the hypergraphbased sparse matrix partitioning methods with respect to the increasing sizes of matrices and number of nonzeros. We prop...
Bora Ucar, Ümit V. Çatalyürek
JPDC
2008
110views more  JPDC 2008»
13 years 4 months ago
Parallel multilevel algorithms for hypergraph partitioning
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
Aleksandar Trifunovic, William J. Knottenbelt
SIAMSC
2010
210views more  SIAMSC 2010»
12 years 11 months ago
On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
Ümit V. Çatalyürek, Cevdet Aykana...
PARA
1995
Springer
13 years 8 months ago
Decomposing Linear Programs for Parallel Solution
Coarse grain parallelism inherent in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited in recent research works. However, t...
Ali Pinar, Ümit V. Çatalyürek, Ce...
CIKM
2010
Springer
13 years 3 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad