In this paper we propose a high performance parallel file system over iSCSI (iPVFS) for cluster computing. iPVFS provides a cost-effective solution for heterogeneous cluster envi...
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
High-performance computing is and has always been performance oriented. However, a consequence of the push towards maximum performance is increased energy consumption, especially ...
This paper describes an overview of Environment for Memory Performance Studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed to...
Jeffrey K. Hollingsworth, Allan Snavely, Simone Sb...
In 2002, Japan announced the Earth Simulator—a supercomputer based on low-volume vector processors and a custom network—and reported that computational scientists had used it ...
In embedded systems, performance and power are important inter-related issues that cannot be decoupled. Expensive and extensive simulations in a processor design space are usually...
Measurements are very useful to gauge the actual performance of various architectures and their components. In this paper we investigate the performance of the LAMP(Linux, Apache,...
Empirical performance evaluation of parallel systems and applications can generate significant amounts of performance data and analysis results from multiple experiments as perfo...
Kevin A. Huck, Allen D. Malony, Robert Bell, Alan ...
Modern routers and switch fabrics can have hundreds of input and output ports running at up to 10 Gb/s; 40 Gb/s systems are starting to appear. At these rates, the performance of ...
Sailesh Kumar, Jonathan S. Turner, Patrick Crowley
In this paper, we present a two-level modeling approach to performance macromodeling based on radial basis function Support Vector Machine (SVM). The two-level model consists of a...