Add to ORKGThe 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, such applications must tolerate hardware failures
Abstract. As the scale of computing platforms becomes increasingly extreme, the requirements for app...
As the size of supercomputers increases, the probability of system failure grows substantially, posi...
Scientific applications have long embraced the MPI as the environment of choice to execute on large ...
Because of increasing hardware and software complexity, the running time of many computational scien...
Because of increasing hardware and software complexity, the running time of many computational scie...
Scientists use advanced computing techniques to assist in answering the complex questions at the for...
Abstract. Most predictions of Exascale machines picture billion way parallelism, encompassing not on...
Ultra-scale computer clusters with high speed interconnects, such as InfiniBand, are being widely de...
The running times of large–scale computational science and engineering parallel applications, execut...
As the size of high performance clusters multiplies, the prob-ability of system failure grows substa...
[Abstract] Execution times of large-scale computational science and engineering parallel application...
Ultra-scale computer clusters with high speed intercon-nects, such as InfiniBand, are being widely d...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
: We propose a method to incorporate coordinated checkpointing and rollback in high performance comp...
Fault-tolerant distributed applications require mechanisms to recover data lost via a process failur...
Abstract. As the scale of computing platforms becomes increasingly extreme, the requirements for app...
As the size of supercomputers increases, the probability of system failure grows substantially, posi...
Scientific applications have long embraced the MPI as the environment of choice to execute on large ...
Because of increasing hardware and software complexity, the running time of many computational scien...
Because of increasing hardware and software complexity, the running time of many computational scie...
Scientists use advanced computing techniques to assist in answering the complex questions at the for...
Abstract. Most predictions of Exascale machines picture billion way parallelism, encompassing not on...
Ultra-scale computer clusters with high speed interconnects, such as InfiniBand, are being widely de...
The running times of large–scale computational science and engineering parallel applications, execut...
As the size of high performance clusters multiplies, the prob-ability of system failure grows substa...
[Abstract] Execution times of large-scale computational science and engineering parallel application...
Ultra-scale computer clusters with high speed intercon-nects, such as InfiniBand, are being widely d...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)...
: We propose a method to incorporate coordinated checkpointing and rollback in high performance comp...
Fault-tolerant distributed applications require mechanisms to recover data lost via a process failur...
Abstract. As the scale of computing platforms becomes increasingly extreme, the requirements for app...
As the size of supercomputers increases, the probability of system failure grows substantially, posi...
Scientific applications have long embraced the MPI as the environment of choice to execute on large ...