MatLisp is a set of CLOS classes for handling matrices. The classes allow a simple and consistent interface to matrix operations. Matlisp is powered by the well-known and well-tested linear algebra packages BLAS and LAPACK, which provide the Matlisp user an immediate interface to a set of specialized and well-documented linear algebra routines such as +, -, *, /, eigenvalue, SVD, Cholesky decompositions and more.
TinyScheme is a lightweight Scheme interpreter that implements as large a subset of R5RS as possible without getting very large and complicated. It is meant to be used as an embedded scripting interpreter for other programs. As such, it does not offer IDEs or extensive toolkits although it does sport a small top-level loop, included conditionally. A lot of functionality in TinyScheme is included conditionally, and it allows multiple interpreter states to coexist in the same program without any interference between them. Foreign functions in C can also be added and values can be defined in the Scheme environment.
The Linux Driver and API for Datel PC-462 project aims to produce a Linux driver and API for the Datel PC-462 Data Acquisition Card/Power Supply. From correspondence with Datel, there is no other Linux driver/API for this board. This software will allow developers and engineers to write test software that runs on Linux and incorporates the Datel hardware.
libffi is a library that really only provides the lowest, machine dependent layer of a fully featured foreign function interface. A layer must exist above libffi that handles type conversions for values passed between the two languages. ffi stands for Foreign Function Interface. A foreign function interface is the popular name for the interface that allows code written in one language to call code written in another language.
Java Reliable Multicast (JRM) Service can be used by information distribution applications as the transport for delivery of content to very large constituencies. As compared to unicast protocols (i.e., HTTP), reliable multicast enables broadcasting to groups of receivers, ensuring bandwidth conservation and timely delivery. TRAM, a reliable multicast transport protocol developed along with the JRM Service, is designed for high scalability, targeted at very large numbers of receivers. The JRM Service includes new services for multicast address allocation and management of channels, as well as a dynamic filtering mechanism that uses Java software classes which are pushed into the network for the purpose of interpreting the data downstream from the server.