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Matrix of transition probabilities for any time-inhomogeneous multistate model with finite state space

The snow package provides support for simple parallel computing on a network of workstations using R. A master R process calls makeCluster to start a cluster of worker processes; the master process then uses functions such as clusterCall and clusterApply to execute R code on the worker processes and collect and return the results on the master. This framework supports many forms of "embarrassingly parallel" computations. Snow can use one of four communications mechanisms: sockets, PVM, MPI, or NetWorkSpaces (NWS). NWS support was provided by Steve Weston. PVM clusters use the rpvm package; MPI clusters use package Rmpi; NWS clusters use package nws. If pvm is used, then pvm must be started, either using a pvm console (e.g the pvm text console or the graphical xpvm console, both available with pvm) or from R using functions provided by rpvm. Similarly, LAM-MPI must be started, e.g. using lamboot, for MPI clusters that use Rmpi and LAM-MPI. If NWS is used, the NetWorkSpaces server must be running. SOCK clusters are the easiest approach for using snow on a single multi-core computer as they require no additional software.

Self-Organizing Map (with application in gene clustering)

BFT stands for Base Functions and Types. It is destined to be used by scientific codes (CFD) often using some form of parallelism, especially MPI.

This is a port of AFNI, Analysis of Functional Neuro Imaging. AFNI is a tool for analyzing 3 dimensional images, especially functional MRI images used in brain mapping research.

BuDDY is a Binary Decision Diagram library, with: many highly efficient vectorized BDD operations, dynamic variable reordering, automated garbage collection, a C++ interface with automatic reference counting, and much more.

DCL is scientific graphic library for geoscience, written in Fortran. DCL-C is converted from Fortran version of DCL.

Bddsolve is a BDD-based tool for solving satisfiability and reachability problems. It uses the BDD package Buddy as a backend.

The Blue Obelisk Data Repository lists many important chemoinformatics data such as element and isotope properties, atomic radii, etc. including references to original literature. Developers can use this repository to make their software interoperable.

Brian is a simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which is an easy, concise and highly developed language with many advanced features and development tools, excellent documentation and a large community of users providing support and extension packages.