Abstract: A supercomputer processing system is provided that is configured to execute a plurality of simulations through transaction processing. The supercomputer processing system includes a supercomputer configured to execute a first simulation of the plurality of simulations and generate an output based upon execution of the first simulation, and a transaction hub. The transaction hub includes a relational database configured to store the output of the first simulation, and an application server having a service-oriented architecture (SOA) that supports an event triggering service. The event triggering service is configured to detect the output of the first simulation and automatically trigger the supercomputer to execute a second simulation of the plurality of simulations using the output of the first simulation stored in the relational database.

Abstract: A supercomputer processing system is provided that is configured to execute a plurality of simulations through transaction processing. The supercomputer processing system includes a supercomputer configured to execute a first simulation of the plurality of simulations and generate an output based upon execution of the first simulation, and a transaction hub. The transaction hub includes a relational database configured to store the output of the first simulation, and an application server having a service-oriented architecture (SOA) that supports an event triggering service. The event triggering service is configured to detect the output of the first simulation and automatically trigger the supercomputer to execute a second simulation of the plurality of simulations using the output of the first simulation stored in the relational database.

Abstract: A method and system for ascertaining relationships between collected geological samples and remotely sensed geological data within a region is provided. The locations of physical samples and the locations of data points associated with remotely sensed data are identified and stored. The locations within the region are determined using a position identifying system, such as the global positioning system. The collected physical samples are analyzed to obtain data values for physical and chemical properties of the collected samples. Data mining algorithms are used to generate input data for the formulation of a set of spatial relationships. The locations of the physical samples within the region are associated with the locations of the remotely sensed data to form a set of spatial relationships.