Mindtech Announces Enhanced Scalability Support for Chameleon

LONDON, Nov. 15, 2019 /PRNewswire/ --A Mindtech Global Ltd, a UK based start-up, has announced container support to allow running multiple instances of their Chameleon synthetic data generation tool on clustered platforms.A  This approach enables full use of available compute resources leading to a significant reduction in training cycle times for neural networks using Synthetic data.Scalability by designMindtech's Chameleon was built from the outset with the capability to scale for generating large amounts of data to meet the demands of training visual neural networks for AI systems.A  The simulator incorporates a scripting engine, enabling easy capabilities for repeated simulation runs, changing single variables at a time.A  The scenario editor is intended to allow the quick and easy creation of multiple different sequences, to create the data required for the intended use case.Exploiting scalabilityThe Scenario editor and simulation scripting engine between them ensure that the Chameleon tools can easily be used to generate huge amounts of data.A  To allow the user to effectively exploit this requires that simulation and rendering hardware be fully utilised.A  To achieve this the tools were designed to fully employ all resources available, taking advantage of multi-thread processors and GPU accelerators availableA on the system hosting the simulator.A  To further enhance this capability, MindtechA has updated the simulator and encapsulated it in a containerised form, to allow use of such technologies as Singularity and Docker.A  This in turns allows deployment within a clustered environment like Kubernetes.A  This new functionality allows for deployment at server and cloud scale, enhancing the ability to utilise compute resources available. A 
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