Pyslice provides utility functions for parametric modeling. It creates data sets based on a configuration file and a series of template files, then runs a model against each data set. It tracks each model's progress, keeping the total number of concurrent model runs under a limit established by the user. It is useful for running many model runs on a Beowulf cluster, or for control of the model runs on single processor machines. It can also monitor the model runs through an internal queue, or place the modeling jobs into a queue managed by other software. It is written in Python.
myBeasties is a highly flexible evolutionary programming module. It is designed to be extendable and customisable for maximum use by the Perl developer. Many species of genotypes can be evolved, and these can be used to build phenotypes of any size or complexity. These can be as simple as a list or as large as a whole class of objects.
Platform Independent Petri Net Editor (PIPE) creates and analyses Petri Nets quickly, efficiently, and effectively. A key design feature is the modular approach adopted for analysis, enabling new modules to be written easily and powerfully, using built-in data layer methods for standard calculations. Six analysis modules are provided, including Invariant Analysis, State-Space Analysis (deadlock, etc.), and Simulation Analysis and Classification. PIPE adheres to the XML Petri net standard (PNML). The file format for saving and loading Petri Nets is extensible through the use of XSLT, the default being PNML.
Sequoia provides high availability and performance scalability for databases. It is is the continuation of the C-JDBC project. It provides transparent database clustering (partitioning, replication, etc.). It works with any Java application without code modification and with any database engine. It has been successfully tested with Tomcat, JBoss, JOnAS, WebSphere, MySQL, PostgreSQL, Apache Derby, HSQLDB, SAP DB, Oracle, DB2, Sybase, MS SQL Server, Firebird, and more.
LAPACK is a linear algebra library, based on LINPACK and EISPACK, designed to provide routines for handling simultaneous equations and matrix algebra efficiently, particularly on shared memory vector processors, parallel processors, and clusters. The code is written in Fortran, and requires the BLAS (Basic Linear Algebra Subprograms) library.
DJFractal is yet another fractal generator which distributes fractal data to multiple computers. Fractal data are created locally and distributed to other computers that run the appropriate fractal-generation software, which may be hosted on workstations, or on a Java enabled Web-browser through applets, or on a system with JavaCard. DJFractal's unique feature is the "smart" algorithm it uses to compute (and draw) the most interesting part of a fractal first.
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.
JCGrid is a set of easy-to-use tools for real-world grid-computing. It doesn't require any file system sharing capability (such as NFS). It allows you to easily split a CPU-intensive task among several computers by using the JCGrid framework. Any file required for completing the task will be transferred by the framework. A cache is used in order to minimize file transfers. You can easily add or remove computers from the grid at runtime without losing any work. Support for POVRay is included as an example of use.
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.