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Turn on the Turbo with Parallel Execution!

Lars Fiedler

Application authors have the option to execute modules in parallel. This can improve execution time tremendously for those applications with long running modules, whether they are CPU or I/O intensive. Composable Analytics’ execution engine analyzes an application, and schedules the execution of a module if all of its inputs are ready to go. After each module has been executed, any dependent and ready modules are scheduled.

Just click the ‘Parallel’ check box, and we’ll do the rest!

Lars Fiedler

Lars has comprehensive expertise building large complex software systems, and has served as a Software Engineer at MIT’s Lincoln Laboratory since 2010, where he began developing Composable Analytics. Prior to joining Lincoln Laboratory, Lars worked as a Software Engineer at Microsoft Corporation from 2006 to 2010. Lars received his MS in Computer Science from Georgia Institute of Technology in 2004, and his BS in Computer Science from Georgia Tech in 2003.

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