I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel machines. This change has been driven by two trends. First, parallel scientific applications are being used to process larger datasets that do not fit in memory. Second, a large number of parallel machines are being used for non-scientific applications. Efficient execution of these applications requires high-performance I/O systems which have been designed to meet their I/O requirements. In this paper, we examine the I/O requirements for data-intensive parallel applications and the implications of these requirements for the design of I/O systems for parallel machines. We attempt to answer the following questions. First, what is the steady-stat...
The broadening disparity between the performance of I/O devices and the performance of processors an...
Beside the computational scalability of an HPC application, its I/O behaviour can significantly infl...
The solution of Grand Challenge Problems will require computations that are too large to fit in the ...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
Parallel computers are increasingly being used to run large-scale applications that also have huge I...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Recent studies have demonstrated that significant I/O operations are performed by a number of differ...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Parallelization of I/O using multiple disk drives is warranted for achieving high performance on sys...
Parallel and distributed computing have matured sufficiently for their adoption in production enviro...
The broadening disparity between the performance of I/O devices and the performance of processors an...
Beside the computational scalability of an HPC application, its I/O behaviour can significantly infl...
The solution of Grand Challenge Problems will require computations that are too large to fit in the ...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
Parallel computers are increasingly being used to run large-scale applications that also have huge I...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Recent studies have demonstrated that significant I/O operations are performed by a number of differ...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Parallelization of I/O using multiple disk drives is warranted for achieving high performance on sys...
Parallel and distributed computing have matured sufficiently for their adoption in production enviro...
The broadening disparity between the performance of I/O devices and the performance of processors an...
Beside the computational scalability of an HPC application, its I/O behaviour can significantly infl...
The solution of Grand Challenge Problems will require computations that are too large to fit in the ...