Rexsss Performance Analysis: Domain Decomposition Algorithm Implementations for Resilient Numerical Partial Differential Equation Solvers

Technical Report · Fri Aug 01 00:00:00 EDT 2014

DOI:https://doi.org/10.2172/1171553· OSTI ID:1171553

Dahlgren, Kathryn Marie ^[1]; Rizzi, Francesco ^[2]; Morris, Karla Vanessa ^[2]; Debusschere, Bert ^[2]

---

1. California State Univ., Turlock, CA (United States)
2. Sandia National Lab. (SNL-CA), Livermore, CA (United States)

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.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1171553
• Report Number(s): SAND2014-16842R; 536698
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING