Everyone knows applications drive the HPC boat. It is one thing to run benchmarks and burn-in programs, but when it is time for production work, applications take over. Fortunately, there are many applications that can take advantage of clusters. These applications can be divided into three oversimplified categories.
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *
High-performance Linux clustering, Part 1: Clustering fundamentals Introducing the basic concepts of High Performance Computing with Linux cluster technology
LinBit's system for mirroring filesystems across the Network, typically a dedicated LAN, written by Philipp Reisner and LarsEllenberg. This is the general replication technology which is most commonly used by members of by the Linux-HA community. By the w
Science Gateways signal a paradigm shift from traditional high performance computing use. Gateways enable entire communities of users associated with a common scientific goal to use national resources through a common interface. Science gateways are enabl