D4M

Software Summary

Mesabi

Default Module:

R2023b

Other Modules Available:

R2022b, R2023b, R2010b, R2011a, R2011b, R2012a, R2012b, R2013a, R2013b, R2014a, R2014b, R2015a, R2015b, R2016b, R2017b, R2019a, R2020a, R2021a, R2022a

Last Updated On:

Thursday, April 11, 2024

Mesabi K40

Default Module:

Other Modules Available:

Last Updated On:

Mangi

Default Module:

R2023b

Other Modules Available:

R2022b, R2023b, R2010b, R2011a, R2011b, R2012a, R2012b, R2013a, R2013b, R2014a, R2014b, R2015a, R2015b, R2016b, R2017b, R2019a, R2020a, R2021a, R2022a

Last Updated On:

Thursday, April 11, 2024

Mangi v100

Default Module:

Other Modules Available:

Last Updated On:

NICE

Default Module:

Other Versions Available:

Last Updated On:

Thursday, April 11, 2024

Support Level:

Secondary Support

Software Access Level:

Open Access

Home Page:

Link

Software Categories:

Data Mining

Database Systems

Database

Software Description

D4M attempts to combine the advantages of five distinct processing technologies (sparse linear algebra, associative arrays, fuzzy algebra, distributed arrays, and triple-store/NoSQL databases such as Hadoop HBase and Apache Accumulo) to provide a database and computation system that addresses the problems associated with Big Data.

Software Documentation

Software Documentation Tabs

General Linux

D4M is a library accessed through Matlab. You must be familiar with Matlab before using D4M. To use D4M on the MSI lab machines, load the matlab module and add the following lines to the top of your Matlab input, or in your startup.m file.

D4M_HOME = '/nfs/soft-el6/d4m/2.0.3'  % SET TO LOCATION OF D4M.
addpath([D4M_HOME '/matlab_src'])     % Add the D4M library.
Assoc('','','')                       % Initialize library.
DBinit

If you have an accumulo database, you can access it from Matlab by defining a connection, e.g.

DB = DBserver('accumulo1:2181','Accumulo','msitest', '','')