D. A. Reed, C. L. Elford, T. Madhyastha, W. H. Scullin, R. A. Aydt, and E. Smirni, "I/O, Performance Analysis, and Performance Data Immersion," in Proceedings of MASCOTS '96, pp. 1--12, Feb. 1996. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Adaptive Disk Striping for Parallel Input/Output - Simitci (2000) (2 citations) (Correct)
....slower, because they are now using half the number of disks. The best choice for the number of disks to serve individual requests depends on a host of interrelated factors, including the access pattern, the system load, and hardware characteristics. Several studies on parallel file systems [10, 11] have shown the importance of matching underlying file system policies with the application s access patterns. Mismatched policies and access patterns can significantly reduce input output performance. Such a complex task requires file systems that can intelligently make adaptive file control ....
....about the application access pattern can enable file system optimizations that can increase the performance by more than an order of magnitude. With this premise, the logical and physical patterns of application input output in parallel scientific applications have been studied extensively [11 13, 45 47]. These studies have shown that parallel applications exhibit a wide variety of input output request patterns, with both very small and very large request sizes, sequential and non sequential access, and a variety of temporal variations. Insights from these studies led to new, parallel filesystem ....
[Article contains additional citation context not shown here]
D. A. Reed, C. L. Elford, T. Madhyastha, W. H. Scullin, R. A. Aydt, and E. Smirni, "I/O, Performance Analysis, and Performance Data Immersion," in Proceedings of MASCOTS '96, pp. 1--12, Feb. 1996.
I/O Requirements of Scientific Applications: An.. - Smirni, Aydt, Chien, Reed (1996) (3 citations) Self-citation (Reed Aydt Smirni) (Correct)
.... they are in active use by their developers, and they are evolving rapidly based on continuing changes to the Intel Parallel File System (PFS) To capture traces of application I O requests and parallel file system responses, we used an extended version of the Pablo performance analysis environment [17]. All data was captured on the 512 node Intel Paragon XP S at the Caltech Center of Advanced Computing Research. Below, we describe the I O analysis mechanisms and the salient characteristics of the Intel parallel file system. 3.1. Pablo Software Infrastructure Building on the lessons of several ....
....Paragon XP S at the Caltech Center of Advanced Computing Research. Below, we describe the I O analysis mechanisms and the salient characteristics of the Intel parallel file system. 3.1. Pablo Software Infrastructure Building on the lessons of several previous performance analysis toolkits, Pablo [16, 17] is a portable performance environment that supports both performance data capture and analysis. The Pablo instrumentation software captures dynamic performance data via instrumented source code that is linked with a data capture library. During program execution, the instrumentation code ....
Reed, D. A., Elford C.L., Madhyastha T., Scullin W.H., Aydt, R. A., and Smirni E., "I/O, Performance Analysis, and Performance Data Immersion", in Proc. MASCOTS'96, pp. 5-16, 1996.
Real-Time Geographic Visualization of World Wide Web Traffic - Lamm, Reed, Scullin (1996) (8 citations) Self-citation (Reed Scullin) (Correct)
....for immersive data analysis. In the following section, we describe the data immersion software in detail. Avatar Virtual Reality System Avatar is a virtual reality framework, built on the Pablo performance analysis toolkit [15] that supports multiple metaphors to display dynamic data [16, 17]. By separating the metaphor display software from the data processing and interaction components, Avatar s software architecture has allowed us to quickly create new display metaphors. To date, we have developed three different display metaphors for performance data: time tunnels, scattercubes, ....
Reed, D. A., Elford, C. L., Madhyastha, T., Scullin, W. H., Aydt, R. A., and Smirni, E. "I/O, Performance Analysis, and Performance Data Immersion," In Proceedings of MASCOTS '96 (Feb. 1996).
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC