The running times of many computational science applications, such as protein-folding
using ab initio methods, are much longer than the mean-time-to-failure of high-performance …

Trends in high-performance computing are making it necessary for long-running
applications to tolerate hardware faults. The most commonly used approach is checkpoint …

Checkpoint and recovery (CPR) systems have many uses in high-performance computing.
Because of this, many developers have implemented it, by hand, into their applications. One …

Design patterns present good solutions to frequently occurring problems in object-oriented
software design. Thus their correct application in a system's design may significantly …

The running times of many computational science applications are much longer than the
mean-time-to-failure of current high-performance computing platforms. To run to completion …

Checkpoint/restart (C/R) has become a requirement for long-running jobs in large-scale
clusters due to a meantime-to-failure (MTTF) in the order of hours. After a failure, C/R …

Clusters built from commodity PCs dominate high-performance computing today, with
systems containing thousands of processors now being deployed. As node counts for multi …

Parallel scientific applications deal with machine unreliability by periodic checkpointing, in
which all processes coordinate to dump memory to stable storage simultaneously. However …

Fault-tolerance is becoming necessary on high-performance platforms. Checkpointing
techniques make programs fault-tolerant by saving their state periodically and restoring this …

Scientists use advanced computing techniques to assist in answering the complex questions
at the forefront of discovery. The High Performance Computing (HPC) scientific applications …