— We present a tool, PerfCenter, that takes as input the deployment, configuration, message flow and workload details of the hardware and software servers in an application hos...
Methods such as wavelets and M-stationary process have been developed to analyze the time-frequency properties of a process where frequency changes with time. In certain circumsta...
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Abstract--This paper presents the application of a componentbased Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have dev...
Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kur&ccedi...
Although it is increasingly difficult for large scientific programs to attain a significant fraction of peak performance on systems based on microprocessors with substantial instr...
John M. Mellor-Crummey, Robert J. Fowler, Gabriel ...