As parallel computers are increasingly used to run scientific applications with large data sets, and as processor speeds continue to increase, it becomes more important to provide fast, effective parallel file systems for data storage and for temporary files. In an earlier work we demonstrated that a technique we call disk-directed I/O has the potential to provide consistent high performance for large, collective, structured I/O requests. In this paper we expand on this potential by demonstrating the ability of a disk-directed I/O system to read irregular subsets of data from a file, and to filter and distribute incoming data according to data-dependent functions
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Graduation date: 1997Existing parallel file systems are proving inadequate in two important arenas:\...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
In other papers I propose the idea of disk-directed I/O for multiprocessor file systems. Those paper...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Graduation date: 1997Existing parallel file systems are proving inadequate in two important arenas:\...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
In other papers I propose the idea of disk-directed I/O for multiprocessor file systems. Those paper...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Scientific applications are increasingly being implemented on massively parallel supercomputers. Man...
Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Graduation date: 1997Existing parallel file systems are proving inadequate in two important arenas:\...