The Bioinformatics Benchmark System is an attempt to build a reasonable testing framework, tests, and data, to enable end users and vendors to probe the performance of their systems. It is not trying to be the last word in informatics benchmarking, as there are simply too many codes, tests, data sets, and databases. The goal is to create a core of tests that all may download and use to probe specific elements of system performance. The end goal is to enable a pluggable set of tests, including the core tests, so that performance data may be gathered.
The Finishing Scripts for Cluster Installations handle specific post-installation configuration that might not be convienent nor possible using existing cluster installation methods. The usual installation process is used to build a reasonably configured node, and the system then reboots into normal mode, achieves network visibility, and executes the finishing script. The finishing script handles all of the finer details of installing packaged or non-packaged software, tweaking installation, setting host/net specific parameters/files, etc. It is controlled via a single, easily modified script.
ClusterControl is a Web interface to simplify distributing and monitoring (bioinformatics) applications on Linux cluster systems. It is based on a modular concept that enables integration of command line oriented programs into the application framework of ClusterControl. The system enables integration of different applications accessed through one interface and executed on a distributed cluster system. It uses Apache, PHP, and OpenPBS or Sun Grid Engine.
ProActive is a Java library for parallel, distributed, and concurrent computing as well as mobility and security in a uniform framework. It provides a comprehensive API and a graphical interface and is based on an Active Object pattern, a uniform way to encapsulate a remotely accessible object, a thread as an asynchronous activity, an actor with its own script, a server of incoming requests, a mobile and secure agent, and a component with server and client interfaces. It simplifies the programming of applications distributed over a LAN, clusters, an intranet, or Internet GRIDs.
The Scalable Assembler at Notre Dame (SAND) replaces the early stages of the Celera Assembler with scalable versions that can run on collections of commodity computers. By harnessing clusters, clouds, grids, or just random machines in your office, many bioinformatics tasks can be reduced from weeks or months down to minutes or hours.