dapwc

Deterministic Annealing Pairwise Clustering (dapwc) is a scalable and parallel clustering program that operate on non vector space. GitHub page for this project is available at http://dsc-spidal.github.io/dapwc/

Success Stories

• Million Sequence Clustering at http://salsahpc.indiana.edu/millionseq/
• The Fungi Phylogenetic Project at http://salsafungiphy.blogspot.com/

Publications

Fox, G. C. Deterministic annealing and robust scalable data mining for the data deluge. In Proceedings of the Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities (Seattle, Washington, USA, 2011). ACM. Available at http://grids.ucs.indiana.edu/ptliupages/publications/pdac24g-fox.pdf

Prerequisites

1. Operating System

   • This program is extensively tested and known to work on,
     • Red Hat Enterprise Linux Server release 5.10 (Tikanga)
     • Ubuntu 12.04.3 LTS
     • Ubuntu 12.10
   • This may work in Windows systems depending on the ability to setup OpenMPI properly, however, this has not been tested and we recommend choosing a Linux based operating system instead.

2. Java

   • Download Oracle JDK 8 from http://www.oracle.com/technetwork/java/javase/downloads/index.html
   • Extract the archive to a folder named jdk1.8.0
   • Set the following environment variables.

     JAVA_HOME=<path-to-jdk1.8.0-directory>
     PATH=$JAVA_HOME/bin:$PATH
     export JAVA_HOME PATH
   

3. Apache Maven
   • Download latest Maven release from http://maven.apache.org/download.cgi
   • Extract it to some folder and set the following environment variables.

     MVN_HOME=<path-to-Maven-folder>
     $PATH=$MVN_HOME/bin:$PATH
     export MVN_HOME PATH
   

4. Habanero Java (HJ) Library
   • Download HJ-lib jar file from http://www.cs.rice.edu/~vs3/hjlib/code/habanero-java-lib-0.1.1.jar
   • Execute the following shell command from the directory containing the HJ-lib jar to install it as a Maven artifact

     mvn install:install-file -DcreateChecksum=true -Dpackaging=jar -Dfile=habanero-java-lib-0.1.1.jar -DgroupId=habanero-java-lib -DartifactId=habanero-java-lib -Dversion=0.1.1;
   

   • Find more information about HJ-lib at https://wiki.rice.edu/confluence/display/PARPROG/Download+and+Set+Up
5. OpenMPI
   • We recommend using OpenMPI 1.8.1 although it works with the previous 1.7 versions. The Java binding is not available in versions prior to 1.7, hence are not recommended. Note, if using a version other than 1.8.1 please remember to set Maven dependency appropriately in the pom.xml.
   • Download OpenMPI 1.8.1 from http://www.open-mpi.org/software/ompi/v1.8/downloads/openmpi-1.8.1.tar.gz
   • Extract the archive to a folder named openmpi-1.8.1
   • Also create a directory named build in some location. We will use this to install OpenMPI
   • Set the following environment variables

     BUILD=<path-to-build-directory>
     OMPI_181=<path-to-openmpi-1.8.1-directory>
     PATH=$BUILD/bin:$PATH
     LD_LIBRARY_PATH=$BUILD/lib:$LD_LIBRARY_PATH
     export BUILD OMPI_181 PATH LD_LIBRARY_PATH
   

   • The instructions to build OpenMPI depend on the platform. Therefore, we highly recommend looking into the $OMPI_181/INSTALL file. Platform specific build files are available in $OMPI_181/contrib/platform directory.
   • In general, please specify --prefix=$BUILD and --enable-mpi-java as arguments to configure script. If Infiniband is available (highly recommended) specify --with-verbs=<path-to-verbs-installation>. In summary, the following commands will build OpenMPI for a Linux system.

     cd $OMPI_181
     ./configure --prefix=$BUILD --enable-mpi-java
     make;make install
   

   • If everything goes well mpirun --version will show mpirun (Open MPI) 1.8.1. Execute the following command to instal $OMPI_181/ompi/mpi/java/java/mpi.jar as a Maven artifact.

     mvn install:install-file -DcreateChecksum=true -Dpackaging=jar -Dfile=$OMPI_181/ompi/mpi/java/java/mpi.jar -DgroupId=ompi -DartifactId=ompijavabinding -Dversion=1.8.1;
   

   • Few examples are available in $OMPI_181/examples. Please use mpijavac with other parameters similar to javac command to compile OpenMPI Java programs. Once compiled mpirun [options] java -cp <classpath> class-name arguments command with proper values set as arguments will run the program.

Building dapwc

• Check all prerequisites are satisfied before building dapwc
• Clone this git repository from git@github.com:DSC-SPIDAL/dapwc.git Let's call this directory dapwchome
• Once above two steps are completed, building dapwc requires only one command, mvn install, issued within dapwchome.

Running dapwc

The following shell script may be used with necessary modifications to run the program.

#!/bin/bash

# Java classpath. This should include paths to dapwc dependent jar files and the dapwc-1.0-ompi1.8.1.jar
# The dependent jar files may be obtained by running mvn dependency:build-classpath command within dapwchome
cp=<classpath>

# Obtain working directory
wd=`pwd`
# Character x as a variable
x='x'

# A text file listing available nodes
hosts=<path-to-hostfile>
# Number of nodes
nodes=<num-nodes>
# Number of cores per node
corespernode=8

# Options for Java runtime
jopts="-Xms64M -Xmx64M"

# Number of threads to use within one dapwc process
tpn=<threads-per-process>
# Number of processes per node
ppn=<processes-per-node>
# Total parallelism expressed as a pattern TxPxN
# where T is number of threads per process, P is processes per node, and N is total nodes
pat=$tpn$x$ppn$x$nodes

echo "Running $pat on `date`" >> status.txt
# Invoke MPI to run dapwc
mpirun --report-bindings --mca btl ^tcp --hostfile $hostfile --map-by node:PE=$(($corespernode / $ppn)) -np $(($nodes*$ppn)) java $jopts -cp $cp edu.indiana.soic.spidal.dapwc.Program -c config$pat.properties -n $nodes -t $tpn | tee $pat/pwc-out.txt
echo "Finished $pat on `date`" >> status.txt

The arguments listed in the mpirun command fall into three categories.

• OpenMPI Runtime Parameters
  • --report-bindings requests OpenMPI runtime to output how processes are mapped to processing elements (cores) in the allocated nodes.
  • --mca btl ^tcp instructs to enable transports other than tcp, which is useful when running on Infiniband.
  • --hostfile indicates the file listing available nodes. Each node has to be a in a separate line.
  • --map-by node:PE=$(($corespernode / $ppn)) controls process mapping and binding. This is a topic on its own right, but the specific values in this example requests processes to be mapped by node while binding each to corespernode/ppn number of processing elements. A good set of slides on this topic is available at http://www.slideshare.net/jsquyres/open-mpi-explorations-in-process-affinity-eurompi13-presentation
  • -np $(($nodes*$ppn)) determines the total number of processes to run and in this case it is equal to nodes*ppn
• Java Runtime Parameters
  • $jopts in this case lists initial and maximum heap sizes for a JVM instance.
  • -cp indicates paths to find required classes where each entry is separated by a : (in Linux)
• Program (dapwc) Parameters
  • -c points to the configuration file. This is a Java properties files listing values for each parameter that dapwc requires. Details on these parameters will follow in a later section.
  • -n indicates the total number of nodes
  • -t denotes the number of threads to use within one instance of dapwc

Configuring dapwc

The following table summarizes the parameters used in dapwc.

Acknowledgement

We like to express our sincere gratitude to Prof. Vivek Sarkar and his team at Rice University for giving us access and continuous support for HJ library. We are equally thankful to Prof. Guillermo L�pez Taboada for giving us free unrestricted access to commercially available FastMPJ MPI library, which we evaluated in an earlier internal version. We are also thankful to FutureGrid project and its support team for their support with HPC systems. Last but not least OpenMPI community deserves equal recognition for their valuable support.