Scientific Computing Associates

NetWorkSpaces

NetWorkSpacesŽ is a powerful open-source software package that makes it easy to use clusters from within scripting languages like Matlab, Python, and R. With only five easy-to-learn commands, NetWorkSpaces uses globally-shared workspaces to develop and run distributed/parallel script applications. NetWorkSpaces moves script processing to the data, rather than moving data to the processing.

SCAI has chosen a dual licensing model to distribute NetWorkSpaces for R and for Python, which are open-source versions of NetWorkSpaces. These open-source versions of NetWorkSpaces are available for download from SourceForge. To download the software, click the links below:
· NetWorkSpaces for R
· NetWorkSpaces for Python

To learn more about NetWorkSpaces for Matlab and for information about licensing and purchasing the software, click the links below:
· NetWorkSpaces for Matlab
· NWS for Matlab User Guide

Linda
TCP LindaŽ is a coordination language that supplies the "glue" needed to cement many independent processes together into a single parallel program. TCP Linda uses tuplespace technology to provide a virtual shared memory (VSM) ) that is logically shared by all the processes in a parallel program. TCP Linda includes a set of powerful extensions to C, C++ and Fortran that enable the development of parallel applications. It is easy to use, even for those who are new to parallel computing.

Paradise
ParadiseŽ supports truly general purpose distributed computing based on the tuplespace virtual shared memory. concept. Implemented using a client-server software architecture, Paradise can be used to create high availability ensemble applications from otherwise independent parallel, distributed, and sequential programs. We have a white paper that discusses a financial application built using Paradise.