Abstract. Fault Tolerant MPI (FT-MPI)[6] was designed as a solution to allow applications different methods to handle process failures beyond simple check-point restart schemes. The initial implementation of FT-MPI included a robust heavy weight system state recovery algorithm that was designed to manage the membership of MPI communicators during multiple failures. The algorithm and its implementation although robust, was very conservative and this effected its scalability on both very large clusters as well as on distributed systems. This paper details the FT-MPI recovery algorithm and our initial experiments with new recovery algorithms that are aimed at being both scalable and latency tolerant. Our conclusions shows that the use of both ...
The ability to consistently handle faults in a distributed en-vironment requires, among a small set ...
This thesis focuses on fault-tolerance for MPI codes on computational clusters. When an application ...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
Future extreme-scale high-performance computing systems will be required to work under frequent com...
Global Computing platforms, large scale clusters and fu-ture TeraGRID systems gather thousands of no...
Fault tolerance in parallel systems has traditionally been achieved through a combination of redunda...
ISBN: 0-7695-152International audienceGlobal Computing platforms, large scale clusters and future Te...
As supercomputers are entering an era of massive parallelism where the frequency of faults is increa...
Reliability is increasingly becoming a challenge for highperformance computing (HPC) systems with th...
Abstract. Most predictions of Exascale machines picture billion way parallelism, encompassing not on...
Resilience and fault tolerance are challenging tasks in the field of high performance computing (HPC...
International audienceHigh performance computing platforms such as Clusters, Grid and Desktop Grids ...
Scientific applications have long embraced the MPI as the environment of choice to execute on large ...
With increasing numbers of processors on todays machines, the probability for node or link failures ...
The ability to consistently handle faults in a distributed en-vironment requires, among a small set ...
The ability to consistently handle faults in a distributed en-vironment requires, among a small set ...
This thesis focuses on fault-tolerance for MPI codes on computational clusters. When an application ...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
Future extreme-scale high-performance computing systems will be required to work under frequent com...
Global Computing platforms, large scale clusters and fu-ture TeraGRID systems gather thousands of no...
Fault tolerance in parallel systems has traditionally been achieved through a combination of redunda...
ISBN: 0-7695-152International audienceGlobal Computing platforms, large scale clusters and future Te...
As supercomputers are entering an era of massive parallelism where the frequency of faults is increa...
Reliability is increasingly becoming a challenge for highperformance computing (HPC) systems with th...
Abstract. Most predictions of Exascale machines picture billion way parallelism, encompassing not on...
Resilience and fault tolerance are challenging tasks in the field of high performance computing (HPC...
International audienceHigh performance computing platforms such as Clusters, Grid and Desktop Grids ...
Scientific applications have long embraced the MPI as the environment of choice to execute on large ...
With increasing numbers of processors on todays machines, the probability for node or link failures ...
The ability to consistently handle faults in a distributed en-vironment requires, among a small set ...
The ability to consistently handle faults in a distributed en-vironment requires, among a small set ...
This thesis focuses on fault-tolerance for MPI codes on computational clusters. When an application ...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...