M3: Matrix Multiplication on MapReduce

Francesco Silvestri; Matteo Ceccarello

M3: Matrix Multiplication on MapReduce

Francesco Silvestri, Matteo Ceccarello

Research output: Other contribution › Research

Abstract

M3 is an Hadoop library for performing dense and sparse matrix multiplication in MapReduce. The library is based on multi-round algorithms exploiting the 3D decomposition of the problem.

Original language	English
Publication date	2015
Publication status	Published - 2015

Keywords

Matrix Multiplication
MapReduce
Hadoop
Sparse Matrices
3D Decomposition

Cite this

@misc{97779dd37aab4f239227b4abcf8567da,

title = "M3: Matrix Multiplication on MapReduce",

abstract = "M3 is an Hadoop library for performing dense and sparse matrix multiplication in MapReduce. The library is based on multi-round algorithms exploiting the 3D decomposition of the problem.",

keywords = "Matrix Multiplication, , MapReduce, , Hadoop, , Sparse Matrices, , 3D Decomposition",

author = "Francesco Silvestri and Matteo Ceccarello",

year = "2015",

language = "English",

type = "Other",

}

TY - GEN

T1 - M3: Matrix Multiplication on MapReduce

AU - Silvestri, Francesco

AU - Ceccarello, Matteo

PY - 2015

Y1 - 2015

N2 - M3 is an Hadoop library for performing dense and sparse matrix multiplication in MapReduce. The library is based on multi-round algorithms exploiting the 3D decomposition of the problem.

AB - M3 is an Hadoop library for performing dense and sparse matrix multiplication in MapReduce. The library is based on multi-round algorithms exploiting the 3D decomposition of the problem.

KW - Matrix Multiplication

KW - MapReduce

KW - Hadoop

KW - Sparse Matrices

KW - 3D Decomposition

UR - http://www.dei.unipd.it/m3

M3 - Other contribution

ER -

M3: Matrix Multiplication on MapReduce

Abstract

Keywords

Fingerprint

Cite this