SpMachO - Optimizing Sparse Linear Algebra Expressions with Probabilistic Density Estimation

EDBT 2015
Pages: 289 - 300
Published: Jan 1, 2015
Abstract
In the age of statistical and scientific databases, there is an emerging trend of integrating analytical algorithms into database systems. Many of these algorithms are based on linear algebra with large, sparse matrices. However, linear algebra expressions often contain multiplications of more then two matrices. The execution of sparse matrix chains is nontrivial, since the runtime depends on the parenthesization and on physical properties of...
Paper Details
Title
SpMachO - Optimizing Sparse Linear Algebra Expressions with Probabilistic Density Estimation
Published Date
Jan 1, 2015
Journal
Pages
289 - 300
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