Checkout the sources from the Mahout GitHub repository either via
git clone email@example.com:apache/mahout.git or git clone https://github.com/apache/mahout.git
Linux Environment (preferably Ubuntu 16.04.x) Note: Currently only the JVM-only build will work on a Mac. gcc > 4.x NVIDIA Card (installed with OpenCL drivers alongside usual GPU drivers)
Install java 1.7+ in an easily accessible directory (for this example, ~/java/) http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html
Create a directory ~/apache/ .
Download apache Maven 3.3.9 and un-tar/gunzip to ~/apache/apache-maven-3.3.9/ . https://maven.apache.org/download.cgi
Download and un-tar/gunzip Hadoop 2.4.1 to ~/apache/hadoop-2.4.1/ . https://archive.apache.org/dist/hadoop/common/hadoop-2.4.1/
Download and un-tar/gunzip spark-1.6.3-bin-hadoop2.4 to ~/apache/ . http://spark.apache.org/downloads.html Choose release: Spark-1.6.3 (Nov 07 2016) Choose package type: Pre-Built for Hadoop 2.4
Install ViennaCL 1.7.0+ If running Ubuntu 16.04+
sudo apt-get install libviennacl-dev
Otherwise if your distribution’s package manager does not have a viennniacl-dev package >1.7.0, clone it directly into the directory which will be included in when being compiled by Mahout:
mkdir ~/tmp cd ~/tmp && git clone https://github.com/viennacl/viennacl-dev.git cp -r viennacl/ /usr/local/ cp -r CL/ /usr/local/
Ensure that the OpenCL 1.2+ drivers are installed (packed with most consumer grade NVIDIA drivers). Not sure about higher end cards.
Clone mahout repository into
git clone https://github.com/apache/mahout.git
When building mahout for a spark backend, we need four System Environment variables set:
export MAHOUT_HOME=/home/<user>/apache/mahout export HADOOP_HOME=/home/<user>/apache/hadoop-2.4.1 export SPARK_HOME=/home/<user>/apache/spark-1.6.3-bin-hadoop2.4 export JAVA_HOME=/home/<user>/java/jdk-1.8.121
Mahout on Spark regularly uses one more env variable, the IP of the Spark cluster’s master node (usually the node which one would be logged into).
To use 4 local cores (Spark master need not be running)
To use all available local cores (again, Spark master need not be running)
To point to a cluster with spark running:
We then add these to the path:
These should be added to the your ~/.bashrc file.
From the $MAHOUT_HOME directory we may issue the commands to build each using mvn profiles.
mvn clean install -DskipTests
JVM with native OpenMP level 2 and level 3 matrix/vector Multiplication
mvn clean install -Pviennacl-omp -DskipTests
JVM with native OpenMP and OpenCL for Level 2 and level 3 matrix/vector Multiplication. (GPU errors fall back to OpenMP, currently only a single GPU/node is supported).
mvn clean install -Pviennacl -DskipTests
A convenience script for updating maven dependencies is included in
cd $MAHOUT_HOME/buildtools ./change-scala-version.sh 2.11
Now go back to
$MAHOUT_HOME and execute
mvn clean install
The distribution profile, among other things, will produce the same artifact for multiple Scala and Spark versions.
Specifically, in addition to creating all of the
It will also create:
Note: * ViennaCLs are only created if the
viennacl-omp profiles are activated.
By default, this phase will execute the
package lifecycle goal on all built “extra” varients.
E.g. if you were to run
mvn clean install -Pdistribution
install all of the “Default Targets” but only
package the “Also created”.
If you wish to
install all of the above, you can set the
lifecycle.target switch as follows:
mvn clean install -Pdistribution -Dlifecycle.target=install