We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
We present initial results from the first empirical evaluation of a graph partitioning algorithm inspired by the Arora-Rao-Vazirani algorithm of [5], which combines spectral and ...
Kevin J. Lang, Michael W. Mahoney, Lorenzo Orecchi...
: This paper presents a method for evaluating an upper bound of simultaneous switching gates in combinational circuits. In this method, the original circuit is partitioned into sub...
Kai Zhang, Tsuyoshi Shinogi, Haruhiko Takase, Teru...
This paper argues about the partitioning in hardware/software co-design and suggests the methodology applying extreme programming to complement the co-design. This approach, contr...
Heeseo Chae, Dong-hyun Lee, Jiyong Park, Hoh Peter...