The Swift parallel scripting language lets users apply parallel composition constructs to existing sequential or parallel programs to express highly parallel scripts.

Swift scripts are flexible and portable, and can run efficiently on platforms ranging from multicore workstations to petascale supercomputers. For performing parameter sweeps and data analysis with exiting application programs, parallel scripting is typically easier and more productive than tightly-coupled parallel programming.

This talk will provide an overview of Swift and how its used to run scientific applications in parallel on clusters, grids, clouds, and petascale systems.

The architectural challenges of scripting on large-scale systems will be covered, and case studies will be presented. Swift