Add to ORKGIn this study, the authors propose a simple performance model to promote a better integration between the parallel I/O middleware layer and parallel file systems. They show that application-specific data layout optimization can improve overall data access delay considerably for many applications. Implementation results under MPI-IO middleware and PVFS2 file system confirm the correctness and effectiveness of their approach, and demonstrate the potential of data layout optimization in petascale data storage
With the advent of emerging e-Science applications, today\u27s scientific research increasingly re...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Parallel file systems have become a common component of mod-ern high-end computers to mask the ever-...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
ABSTRACT In this study, we propose an optimization strategy to promote a better integration of the p...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Abstract—Performance of reading scientific data from a parallel file system depends on the organizat...
Disk drives are the bottleneck in the processing of large amounts of data used in almost all common ...
state.edu We present an I/O optimization method for parallel volume ren-dering based on visibility a...
A large number of real-world scientific applications can be char-acterized as loosely coupled: the c...
Parallel I/O plays an increasingly important wie in today\u27s data intensive computing applications...
Parallel scientific applications store and retrieve very large, structured datasets. Directly suppor...
Parallel I/O plays an increasingly important role in to-day’s data intensive computing applications....
Abstract — Modern data-intensive structured datasets constantly undergo manipulation and migration t...
With the advent of emerging e-Science applications, today\u27s scientific research increasingly re...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Parallel file systems have become a common component of mod-ern high-end computers to mask the ever-...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
ABSTRACT In this study, we propose an optimization strategy to promote a better integration of the p...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Abstract—Performance of reading scientific data from a parallel file system depends on the organizat...
Disk drives are the bottleneck in the processing of large amounts of data used in almost all common ...
state.edu We present an I/O optimization method for parallel volume ren-dering based on visibility a...
A large number of real-world scientific applications can be char-acterized as loosely coupled: the c...
Parallel I/O plays an increasingly important wie in today\u27s data intensive computing applications...
Parallel scientific applications store and retrieve very large, structured datasets. Directly suppor...
Parallel I/O plays an increasingly important role in to-day’s data intensive computing applications....
Abstract — Modern data-intensive structured datasets constantly undergo manipulation and migration t...
With the advent of emerging e-Science applications, today\u27s scientific research increasingly re...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Parallel file systems have become a common component of mod-ern high-end computers to mask the ever-...