Rexsss Performance Analysis: Domain Decomposition Algorithm Implementations for Resilient Numerical Partial Differential Equation Solvers
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Kathryn Dahlgren, USDOE Assistant Secretary for Human Resources and Administration, Sandia National Laboratories (SNL-CA), Livermore, CA (United States), Francesco Rizzi, Karla Morris, Bert Debusschere · 2014
The future of extreme-scale computing is expected to magnify the influence of soft faults as a source of inaccuracy or failure in solutions obtained from distributed parallel computations. The development of resilient computational tools represents an essential recourse for understanding the best methods for absorbing the impacts of soft faults without sacrificing solution accuracy. The Rexsss (Resilient Extreme Scale Scientific Simulations) project pursues the development of fault resilient algorithms for solving partial differential equations (PDEs) on distributed systems. Performance analyses of current algorithm implementations assist in the identification of runtime inefficiencies.