In an era where we can not afford to checkpoint frequently, replication is a generic way
forward to construct numerical simulations that can continue to run even if hardware parts …

This work is based on the seminar titled" Resiliency in Numerical Algorithm Design for
Extreme Scale Simulations" held March 1-6, 2020 at Schloss Dagstuhl, that was attended by …

This work is based on the seminar titled 'Resiliency in Numerical Algorithm Design for
Extreme Scale Simulations' held March 1–6, 2020, at Schloss Dagstuhl, that was attended …

In this paper, we address the design challenge of building multiresilient iterative high-
performance computing (HPC) applications. Multiresilience in HPC applications is the ability …

High-performance computing applications must be resilient to faults. The traditional fault
tolerance solution is checkpoint–recovery, by which application state is saved to and …

The increasing scale and complexity of today's high-performance computing (HPC) systems
demand a renewed focus on enhancing the resilience of long-running scientific applications …

Next-generation exascale systems, those capable of performing a quintillion operations per
second, are expected to be delivered in the next 8-10 years. These systems, which will be …

To enable future scientific breakthroughs and discoveries, the next generation of scientific
applications will require exascale computing performance to support the execution of …

Benefits of local recovery (restarting only a failed process or task) have been previously
demonstrated in parallel solvers. Local recovery has a reduced impact on application …

This paper presents a method to protect iterative solvers from Detected and Uncorrected
Errors (DUE) relying on error detection techniques already available in commodity …