New file systems are critical to obtain good I/O performance on large multiprocessors. Several researchers have suggested the use of \em collective\/ file-system operations, in which all processes in an application cooperate in each I/O request. Others have suggested that the traditional low-level interface (\tt read, write, seek) be augmented with various higher-level requests (e.g., \em read matrix). Collective, high-level requests permit a technique called \em disk-directed I/O\/ to significantly improve performance over traditional file systems and interfaces, at least on simple I/O benchmarks. In this paper, we present the results of experiments with an “out-of-core” LU-decomposition program. Although its collective interface was awkwa...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
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...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
In other papers I propose the idea of disk-directed I/O for multiprocessor file systems. Those paper...
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...
257 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.There exists an increasing di...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
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 ...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
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...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
In other papers I propose the idea of disk-directed I/O for multiprocessor file systems. Those paper...
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...
257 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.There exists an increasing di...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
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 ...
As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are ...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...