Resumen
Over the last decade, technologists have continued to push the envelope by creating more powerful computers and greater disk storage capacities. Increases in network technology have allowed programmers to link resources at increasingly sophisticated levels. Understanding and making scientific inferences with enormous distributed data collections through simulation, modeling and analysis are some challenges that will be addressed directly by the TeraGrid project. The TeraGrid is an ambitious and exciting project. One of the most difficult challenges for application developers will be to leverage the immense capacity of the TeraGrid to provide online access to massive amounts of data. In particular, the synthesis of knowledge from data is among the most challenging applications for the TeraGrid. A knowledge grid is the convergence of a comprehensive computational infrastructure along with the scientific data collections and applications for routinely supporting the synthesis of knowledge from that data. Grid-enabled software tools will be developed and deployed on terascale and petascale hardware