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
Abstract—Massively parallel applications often require periodic data checkpointing for program resta...
Retrieving sequential rich media content from modern commodity disks is a challenging task. As disk ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Many scientific applications that run on today’s multiprocessors, such as weather forecasting and se...
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...
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...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
257 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.There exists an increasing di...
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. P...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Abstract—Massively parallel applications often require periodic data checkpointing for program resta...
Retrieving sequential rich media content from modern commodity disks is a challenging task. As disk ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Many scientific applications that run on today’s multiprocessors, such as weather forecasting and se...
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...
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...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
257 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.There exists an increasing di...
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. P...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Abstract—Massively parallel applications often require periodic data checkpointing for program resta...
Retrieving sequential rich media content from modern commodity disks is a challenging task. As disk ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...