BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph. The main advantage of the algorithm is that it does not need parametrization to compute results of high accuracy.
ClusterShell is a set of tools and an event-based Python library to execute commands on local or remote cluster nodes in parallel. The framework also provides advanced methods for handling node sets and node groups to ease and improve administration of large compute clusters or server farms. Three convenient command line utilities, clush, clubak, and nodeset, allow traditional shell scripts to benefit some useful features offered by the library.
Sequencer is an engine used by system administrators for the computation and execution of sequences of actions over hardware or software. It can ping various devices in parallel, power on your whole cluster, or generate an Emergency PowerOff (EPO) script for your data center or cluster. It takes into account various dependencies (power off nodes before switches, clients before server), deals with failures kindly, and is very efficient (>4000 nodes in less than 10 minutes).
Galera wsrep provider is a dlopenable generic replication library which implements the wsrep provider API. It provides very efficient synchronous replication, and multi-master and "parallel applying" capabilities for opaque data buffers. Its primary focus is data consistency. A transaction is either committed on every node, or not at all. It works anywhere TCP works, including on WAN, and can utilize UDP multicast where available. It is used by the MySQL-wsrep patch project to create true multi-master MySQL/InnoDB clusters.
Open Grid Scheduler/Grid Engine is a batch-queuing system for distributed resource management. It is used by many high-performance clusters and computation farms. Together with basic batch job scheduling, it supports advance reservation, array jobs, parallel make, parallel job management, and GPU management.