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 ...
Virtualization is gaining popularity in corporations as well as academia. This technology provides a...
The cache management of a distributed system has a significant effect on the performance of an appli...
These use cases describe the most common scientific data visualization methods. This is an evolving ...
Developing and analyzing the performance of concurrent programs on distributed memory concurrent sys...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
technologies has a potential to provide a consistent, seamless, and intelligent integration of heter...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance is a critical issue in current massively parallel processors. However, delivery of adequ...
Parallel computer systems are among the most complex of man's creations, making satisfactory perform...
Abstract: "This article discusses visualizing performance of parallel and sequential computations us...
Common pitfalls in visualization projects include lack of data availability and the domain users' ne...
Bibliography: pages 110-115.The performance analysis of parallel programs is a complex task, particu...
Advisors: Michael Papka.Committee members: Kirk Duffin; Nicholas Karonis.The routine execution of jo...
Virtualization is gaining popularity in corporations as well as academia. This technology provides a...
The cache management of a distributed system has a significant effect on the performance of an appli...
These use cases describe the most common scientific data visualization methods. This is an evolving ...
Developing and analyzing the performance of concurrent programs on distributed memory concurrent sys...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
technologies has a potential to provide a consistent, seamless, and intelligent integration of heter...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance is a critical issue in current massively parallel processors. However, delivery of adequ...
Parallel computer systems are among the most complex of man's creations, making satisfactory perform...
Abstract: "This article discusses visualizing performance of parallel and sequential computations us...
Common pitfalls in visualization projects include lack of data availability and the domain users' ne...
Bibliography: pages 110-115.The performance analysis of parallel programs is a complex task, particu...
Advisors: Michael Papka.Committee members: Kirk Duffin; Nicholas Karonis.The routine execution of jo...
Virtualization is gaining popularity in corporations as well as academia. This technology provides a...
The cache management of a distributed system has a significant effect on the performance of an appli...
These use cases describe the most common scientific data visualization methods. This is an evolving ...