Add to ORKGAbstract: Many scientific applications running on today’s supercomputers deal with increasingly large data sets and are correspondingly bottlenecked by the time it takes to read or write the data from/to the file system. We therefore undertook a study to characterize the parallel I/O performance of two of today’s leading paralle
Although there are several extant studies of parallel scientific application request patterns, there...
Though input/output (I/O) from mass storage continues to be a bottleneck in current generation distr...
Abstract—Supercomputer I/O loads are often dominated by writes. HPC (High Performance Computing) fil...
Abstract: Many scientific applications running on today’s supercomputers deal with increasingly larg...
Columbia, NASA’s 10,240-processor supercluster, has been ranked as one of the fastest computers in t...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
137 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This research addresses the i...
Parallel computing is indisputably present in the future of high performance computing. For distribu...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
[[abstract]]Presents the results of a study conducted to evaluate the performance of parallel I/O on...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Although there are several extant studies of parallel scientific application request patterns, there...
Though input/output (I/O) from mass storage continues to be a bottleneck in current generation distr...
Abstract—Supercomputer I/O loads are often dominated by writes. HPC (High Performance Computing) fil...
Abstract: Many scientific applications running on today’s supercomputers deal with increasingly larg...
Columbia, NASA’s 10,240-processor supercluster, has been ranked as one of the fastest computers in t...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
137 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This research addresses the i...
Parallel computing is indisputably present in the future of high performance computing. For distribu...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
I/O-intensive parallel programs have emerged as one of the leading consumers of cycles on parallel m...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
[[abstract]]Presents the results of a study conducted to evaluate the performance of parallel I/O on...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Although there are several extant studies of parallel scientific application request patterns, there...
Though input/output (I/O) from mass storage continues to be a bottleneck in current generation distr...
Abstract—Supercomputer I/O loads are often dominated by writes. HPC (High Performance Computing) fil...