Sas Institute Inc.

Steve Krueger

Christopher Daniel Bailey

Oliver Schabenberger

James Howard Goodnight

Lin (Colin) Chen

Christopher D Bailey

Systems and methods are provided for generating multiple system state projections using a grid computing environment. A central coordinator software component executes on a root data processor and provides commands and data to a plurality of node coordinator software components. A node coordinator software component manages threads which execute on its associated node data processor and which perform a set of matrix operations. Stochastic simulations use results of the matrix operations to generate multiple state projections. Additional processing can be performed by the grid computing environment based upon the generated state projections, such as to develop possible change information for users.

Distributed systems and methods for state generation based on multi-dimensional data

Systems and methods are provided for performing an estimation using an iteratively reweighted least squares technique on a scenario defined by a design matrix, a response variable vector, and a parameter to be estimated. A system and method can be configured to include a root data processor, where a least squares estimate is calculated by the root data processor during each of a plurality of processing iterations. A plurality of node data processors can also be configured to: update values of a weight matrix according to a current state of the least squares estimate, determine a first intermediate value based on the design matrix and the weight matrix, determine a second intermediate value based on the design and weight matrices and the response variable vector. The root data processor calculates an updated least squares estimate based on the intermediate values.

Computer-implemented distributed iteratively reweighted least squares system and method

Systems and methods are provided for a grid computing system that performs analytical calculations on data stored in a distributed database system. A grid-enabled software component at a control node is configured to invoke database management software (DBMS) at the control node to cause the DBMS at a plurality of the worker nodes to make available data to the grid-enabled software component local to its node; instruct the grid-enabled software components at the plurality of worker nodes to perform an analytical calculation on the received data and to send the results of the data analysis to the grid-enabled software component at the control node; and assemble the results of the data analysis performed by the grid-enabled software components at the plurality of worker nodes.

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Raleigh, NC, United States of America

Steve Krueger