The Mathworks, Inc.

John Norris Little

Loren P Dean

Joseph F Hicklin

Jocelyn Martin

Halldor Narfi Stefansson

Roy Lurie

Nausheen B Moulana

Edric Mark Ellis

Brett W Baker

Piotr R Luszczek

Penelope Anderson

Steven L Eddins

Michael Karr

Stephen C Johnson

Portia O'Callaghan

Loren Shure

Michelle T Hirsch

Jason A Kinchen

Jason D Breslau

Bryan T White

Vadim Teverovsky

Leslie Mehrez

Gerard McElhinney

Linda Cotter

Jocelyn Luke Martin

Penelope L Anderson

Roy E Lurie

Michael E Karr

A software license management system may include an activation server that provides permission to activate a software product. The activation server may receive receiving a request to validate activation of the software and refreshing license information for the software in response to the request to validate. The server may additionally receive a request to re-designate the license information for the software product and may update license information for the software in response to the request to re-designate the software product.

License activation and management

A computer-implemented method for providing an informal interface and a formal interface to a computing application using a computer is provided. The informal interface includes first routines, the first routines using an informal input format. The method also includes providing a formal interface using the computer, where the formal interface includes second routines. The second routines support developer functionality, and the second routines using a formal input format. The method includes receiving a first input having a first routine input format, the first routine input format complying with the informal input format, or a second input having a second routine input format, the second routine input format complying with the formal input format. The method includes processing the received first input or the received second input and performing a computing operation based on the processing.

Dual programming interface

In an illustrative embodiment, an apparatus, computer-readable medium, or method may be configured to avoid command mistakes and suggest corrections. Known commands may be accessed which may include at least one expected identifier, alternative identifier, and/or identifier pattern. The frequencies of occurrence of the known commands may be calculated. A command with entered identifiers may be received and at least one possible mistake in the entered identifiers may be detected. A first numerical score for the known commands may be calculated using a string matching algorithm, a keystroke penalty matrix, and/or the detected at least one possible mistake. A second numerical score may be calculated using the frequencies of occurrence of the known commands and the first numerical score. Expected identifiers may be selected using the first and second numerical scores. A user-selectable command may be created using the expected known commands and displayed.

Mistake avoidance and correction suggestions

One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The media also store one or more instructions for transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The media further store one or more instructions for receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Performing parallel processing of distributed arrays

A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.

Using parallel processing constructs and dynamically allocating program portions

A computing device-implemented method includes receiving a program created by a technical computing environment, analyzing the program, generating multiple program portions based on the analysis of the program, dynamically allocating the multiple program portions to multiple software units of execution for parallel programming, receiving multiple results associated with the multiple program portions from the multiple software units of execution, and providing the multiple results or a single result to the program.

Parallel programming interface to dynamicaly allocate program portions

Media for performing parallel processing of distributed arrays

A device, for performing parallel processing, includes a processor to receive one or more portions of an inner context of a program created for a technical computing environment, and allocate one or more portions of the inner context of the program to two or more labs for parallel execution. The processor is also configured to receive one or more results associated with the parallel execution of the one or more portions from the two or more labs, and provide the one or more results to an outer context of the program.

Method of using parallel processing constructs and dynamically allocating program portions

A computing device-implemented method includes initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The method also includes transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The method further includes receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Parallel processing of distributed arrays and optimum data distribution

A device for performing parallel processing includes a processor to initiate a single programming language, and identify, via the single programming language, one or more data distribution schemes for executing a program. The processor also transforms, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocates the parallel program to two or more labs for parallel execution. The processor further receives one or more results associated with the parallel execution of the parallel program from the two or more labs, and provides the one or more results to the program.

Device for performing parallel processing of distributed arrays

One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for receiving one or more portions of an inner context of a program created for a technical computing environment, allocating one or more portions of the inner context of the program to two or more labs for parallel execution, receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to an outer context of the program.

Media for using parallel processing constructs

Growing community of inventors

Sherborn, MA, United States of America

John Norris Little