Parallel applications running across thousands of processors must protect themselves from inevitable com-ponent failures. Many applications insulate themselves from failures by checkpointing, a process in which they save their state to persistent storage. Following a failure, they can resume computation using this state. For many applications, saving this state into a shared single file is most convenient. With such an approach, the size of writes are often small and not aligned with file system boundaries. Unfortunately for these applications, this preferred data layout results in pathologically poor performance from the underlying file system which is optimized for large, aligned writes to non-shared files. To address this fundamental mis...
High performance computing (HPC) systems use checkpoint-restart to tolerate failures. Typically, app...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
textTo make progress in the face of failures, long-running parallel applications need to save their ...
Parallel applications running across thousands of processors must protect themselves from inevitable...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
Checkpointing is the predominant storage driver in today's petascale supercomputers and is expected ...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
A Parallel Single Level Store systems (PSLS) integrates a shared virtual memory and a parallel file ...
Abstract—As the capability and component count of systems increase, the MTBF decreases. Typically, a...
A parallel single level store (PSLS) system integrates a shared virtual memory and a parallel file s...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
With the ever-growing size of computer clusters and applications, system failures are becoming inevi...
We present a new approach to handling the demanding I/O workload incurred during checkpoint writes e...
Abstract—As computational clusters increase in size, their mean-time-to-failure reduces drastically....
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
High performance computing (HPC) systems use checkpoint-restart to tolerate failures. Typically, app...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
textTo make progress in the face of failures, long-running parallel applications need to save their ...
Parallel applications running across thousands of processors must protect themselves from inevitable...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
Checkpointing is the predominant storage driver in today's petascale supercomputers and is expected ...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
A Parallel Single Level Store systems (PSLS) integrates a shared virtual memory and a parallel file ...
Abstract—As the capability and component count of systems increase, the MTBF decreases. Typically, a...
A parallel single level store (PSLS) system integrates a shared virtual memory and a parallel file s...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
With the ever-growing size of computer clusters and applications, system failures are becoming inevi...
We present a new approach to handling the demanding I/O workload incurred during checkpoint writes e...
Abstract—As computational clusters increase in size, their mean-time-to-failure reduces drastically....
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
High performance computing (HPC) systems use checkpoint-restart to tolerate failures. Typically, app...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
textTo make progress in the face of failures, long-running parallel applications need to save their ...