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Conclusion The ASCI platform effort bridges the gap between giga-scale and tera-scale computing to accommodate the five-order-of-magnitude increase in performance required by "full-physics", "full-system" simulation. . The ASCI Red TOPS Supercomputer The ASCI Red TOPS Supercomputer Introduction The ASCI Red TOPS (Tera-OPerations per Second) Supercomputer is the first step in the ASCI Platforms Strategy, which is aimed at giving researchers the five-order-of-magnitude increase in computing performance over current technology that is required to support "full-physics," "full-system" simulation by early next century. Standard parallel interfaces make it relatively simple to port parallel applications to this system. The system uses two operating systems to make the computer both familiar to the user (UNIX) and non-intrusive for the scalable application (Cougar).
. TOPS interfaces with many other applications, including the FIS and the General Ledger. Design and development are underway on a new web-based version of TOPS that will replace the existing mainframe system. Current TOPS All of the transaction processing for TOPS takes place on the mainframe. Users can also purchase material through a web interface, TOPS Web, which can be found here.
Chemical and mechanical means are used to achieve this. Ball is jointly working with DISCO, a prominent wafer dicing and polishing company. Together we have developed a system for polishing in a continuous mode rather than a batch treatment. This system was installed at our Allen facilities in January, 2000. .
Given observed anomalies in SSTs from satellite data, GCMs are able to forecast climatic conditions 6-12 months into the future with reasonable accuracy. While such forecasts are useful for climatological purposes, analysis of their impacts on ecosystem response has been at best subjective. In this paper a conceptual framework for developing a Biospheric Forecast System (BFS) with emphasis on natural resource management is provided. The system uses components of RHESSys (Regional Hydro-Ecological Simulation System) as the land surface ecosystem model for the computation of distributed carbon and water cycles, which have been used to estimate more basic resource information such as forest productivity, runoff production, snow dynamics and soil moisture stress. BFS functionality includes automated gathering of input data, setting up model runs and post-processing the model output using data-mining and feature extraction tools to provide information rather than data to end-users.

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