Aspeed Software Corporation

Abraham Gulko

Michael Dalessio

Labro Dimitriou

David Mellor

Kurt Ziegler

A system for conditioning algorithms to achieve optimum execution time is disclosed. The system defines a computer programmable framework that can be used to efficiently find a global optimization vector. The system provides a precise execution sequencing of operations in order to achieve a speedy conclusion and a genetic receipt for finding the optimal number of siblings (cluster nodes) for the algorithm. The system defines the genetic function for generating an initial population of solution vectors, a condition number for optimal searching of a single vector, a best fit off-springs selection method, and a diversification function.

Method and system for conditioning of numerical algorithms for solving optimization problems within a genetic framework

A parallel or computing system and method make use of a plurality of adapters each affording a specific type of processing algorithm. At each point in an application, an adapter is identified, to parallelize that portion of the application. The process involves associating an appropriate adapter with the application portion, parsing the application portion to define tasks that may be distributed over the available computers. Combined with the parallelized program is a software server that is designed to cooperate with the adapters to control and supervise distributed processing functions. Such functions include mapping, load balancing, and error detection and correction. Also included are functions that cause the results of the computing to be coordinated in real-time and returned appropriately, according to the application. In addition to the parallelized program and server, an application created by the present invention is provided with the functionality of virtual middleware, which interfaces with and controls existing forms of middleware.

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East Brunswick, NJ, United States of America

Abraham Gulko