Uniform resource visualization

Computing environments continue to increase in scale, heterogeneity, and hierarchy, with resource usage varying dynamically during program execution. Computational and data grids and distributed collaboration environments are examples. To understand performance and gain insights into developing applications that efficiently use system resources, performance visualization has proven useful. Performance visualization tools, however, often are specific to a particular resource at a certain level of the system, possibly with fixed views. Thus, they limit a user\u27s ability to observe a performance problem associated with multiple resources across system levels and platforms. To address this limitation, information integration is necessary. In this research, we propose a new performance visualization framework, Uniform Resource Visualization (URV), focusing on integration of performance information into system-level visualizations. The goal of URV research is to systemize the performance visualization of resources with reusable and composable visualizations

Integrated Visualization Of Parallel Program Performance Data

. Performancetuning a parallel application involves integrating performancedata from many components of the system, including the message passing library, performance monitoring tool, resource manager, operating system, and the application itself. The current practice of visualizing these data streams using a separate, customized tool for each source is inconvenient from a usability perspective, and there is no easy way to visualize the data in an integrated fashion. We demonstrate a solution to this problem using Devise, a generic visualization tool which is designed to allow an arbitrary number of different but related data streams to be integrated and explored visually in a flexible manner. We display data emanating from a variety of sources side by side in three case studies. First we interface the Paradyn Parallel Performance Tool and Devise, using two simple data export modules and Paradyn's simple visualization interface. We show several Devise/Paradyn visualizations which are u..

Integrated Visualization Of Parallel Program Performance Data

. Performance tuning a parallel application involves integrating performance data from many components of the system, including the message passing library, performance monitoring tool, resource manager, operating system, and the application itself. The current practice of visualizing these data streams using a separate, customized tool for each source is inconvenient from a usability perspective, and there is no easy way to visualize the data in an integrated fashion. We demonstrate a solution to this problem using Devise, a generic visualization tool which is designed to allow an arbitrary number of different but related data streams to be integrated and explored visually in a flexible manner. We display data emanating from a variety of sources side by side in three case studies. First we interface the Paradyn Parallel Performance Tool and Devise, using two simple data export modules and Paradyn's simple visualization interface. We show several Devise/Paradyn visualizations which are..