Browsing by Keywords "Matrix partitioning"
Now showing items 1-8 of 8
-
Encapsulating multiple communication-cost metrics in partitioning sparse rectangular matrices for parallel matrix-vector multiplies
(SIAM, 2004)This paper addresses the problem of one-dimensional partitioning of structurally unsymmetric square and rectangular sparse matrices for parallel matrix-vector and matrix-transpose-vector multiplies. The objective is to ... -
Hypergraph models for parallel sparse matrix-matrix multiplication
(Bilkent University, 2015-09)Multiplication of two sparse matrices (i.e., sparse matrix-matrix multiplication, which is abbreviated as SpGEMM) is a widely used kernel in many applications such as molecular dynamics simulations, graph operations, and ... -
Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems
(Elsevier BV, 2016)We propose a comprehensive and generic framework to minimize multiple and different volume-based communication cost metrics for sparse matrix dense matrix multiplication (SpMM). SpMM is an important kernel that finds ... -
A matrix partitioning interface to PaToH in MATLAB
(Elsevier BV, 2010)We present the PaToH MATLAB Matrix Partitioning Interface. The interface provides support for hypergraph-based sparse matrix partitioning methods which are used for efficient parallelization of sparse matrix-vector ... -
Partitioning models for scaling distributed graph computations
(Bilkent University, 2019-09)The focus of this thesis is intelligent partitioning models and methods for scaling the performance of parallel graph computations on distributed-memory systems. Distributed databases utilize graph partitioning to provide ... -
Partitioning sparse matrices for parallel preconditioned iterative methods
(Society for Industrial and Applied Mathematics, 2007)This paper addresses the parallelization of the preconditioned iterative methods that use explicit preconditioners such as approximate inverses. Parallelizing a full step of these methods requires the coefficient and ... -
Scaling sparse matrix-matrix multiplication in the accumulo database
(Springer, 2019)We propose and implement a sparse matrix-matrix multiplication (SpGEMM) algorithm running on top of Accumulo’s iterator framework which enables high performance distributed parallelism. The proposed algorithm provides ... -
Simultaneous input and output matrix partitioning for outer-product-parallel sparse matrix-matrix multiplication
(Society for Industrial and Applied Mathematics, 2014-10-23)FFor outer-product-parallel sparse matrix-matrix multiplication (SpGEMM) of the form C=A×B, we propose three hypergraph models that achieve simultaneous partitioning of input and output matrices without any replication of ...
