Evolutionary computing start-up Codefarm joins international technology giants on the Board of Eclipse
18 August 2003
Codefarm, the evolutionary computing specialist, has been elected to the Board of the Eclipse consortium, the global open-source software development initiative for industry. Codefarm, whose election was unanimous, is the first English company elected to the board and will sit alongside many international technology giants including IBM, HP, Intel, Borland, and Red Hat.
“I am thrilled that Codefarm is being recognised by Eclipse in this way just two years after it was founded,” said Codefarm Managing Director Jeremy Mabbitt. “It is a clear recognition of the quality of our evolutionary computing toolkit, which will extend and enhance the Eclipse computing platform as its adoption by commercial enterprises accelerates.”
Tony Poppleton, lead architect of Codefarm’s optimization toolkit, and Codefarm’s delegate on the Eclipse Board explained further: “Evolutionary computing is a natural partner for the Eclipse platform. We will be able to integrate a variety of functions such as software development, configuration, network management and scientific visualization into Eclipse with ease. Eclipse's modular framework allows our products to be rapidly tailored to suit our customers.”
Chairperson of the Eclipse Board of Stewards, Skip McGaughey, commented: “Easier integration of improved tools technology is essential to helping developers complete projects faster and with higher quality. The Eclipse consortium looks forward to collaborating with Codefarm's team as we work together to improve the Eclipse Platform.”
Codefarm’s product range includes the Galapagos Optimization Workbench, an optimization toolkit that extends the Eclipse platform and offers developers a way to deploy complex soft-computing technologies with minimal training investment. The Workbench is able to deploy optimizations to the Galapagos Optimization Server, which in turn integrates with Codefarm’s Desktop Grid, a peer-to-peer distributed processing framework that is able to harness the spare processing power of customers’ existing networks.