Rexsss Parallel Distributed PDE Solver Sensitivity Analysis
Abstract not provided.
Publications
Rexsss Parallel Distributed PDE Solver Sensitivity Analysis
Abstract not provided.
Rexsss PDE Solver Performance Analysis: Scalability Estimates Using the SST/macro Architecture Simulator
Abstract not provided.
Rexsss Scalability With SST/macro: Analyzing the Performance of a Distributed Fault-Resilient Software Package
Abstract not provided.
Rexsss Performance Analysis: Domain Decomposition Algorithm Implementations for Resilient Numerical Partial Differential Equation Solvers
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.
Rexsss Performance Analysis: Domain Decomposition For PDEs
Abstract not provided.
6 Results