SEED ESCIENCE

Scientific models in large scale experiments usually depend on a number of legacy programs written in different languages, for calculating aspects of the modelled system. We integrate these codes in the Seed eScience scientific cloud, after which they can be easily called over the network, automatically parallelised, and modularly combined to form very large models

Also known as: Seed eScience Research, Seed eScience Research Ltd.

Primary location: London United Kingdom