Scientists apply new graph programming method for evolving exascale applications
(Phys.org) —Hiding the complexities that underpin exascale system operations from application developers is a critical challenge facing teams designing next-generation supercomputers. One way that computer scientists in the Data Intensive Scientific Computing group at Pacific Northwest National Laboratory are attacking the problem is by developing formal design processes based on Concurrent Collections (CnC), a programming model that combines task and data parallelism. Using the processes, scientists have transformed the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics (LULESH) proxy application code that models hydrodynamics (the motion of materials relative to each other when subjected to forces) into a complete CnC specification. The derived CnC specification can be implemented and executed using a paradigm that takes advantage of the massive parallelism and power-conserving features of future exascale systems.