The Mathworks, Inc.

Other

Robert Olson Aberg

Pieter Johannes Mosterman

Xiaocang Lin

Mojdeh Shakeri

Michael David Tocci

Peter S Szpak

Fu Zhang

Ricardo Monteiro

Vaithilingham Senthil

Murali K Yeddanapudi

James E Carrick

Andrew C Bartlett

Gavin William Walker

Hongbo Yang

Omar Armando Adrian Orqueda

Christian Patrick Grippo

Joan Wortman

John Edward Ciolfi

Ebrahim Mehran Mestchian

Loren P Dean

Christian A Portal

Vijaya Raghavan

Haihua Feng

Thomas Gaudette

Zhi Han

Andrew C Grace

Yao Ren

Patrick L Edson

Melissa J Pike

Tao Cheng

Dongzhe Yang

Malcolm Alexander Wood

Jamieson M Cobleigh

Kaushik Krishnasamy

Meng-Ju Wu

Timothy Hosey

Jennifer R Lymneos

Seihyung Lee

Ganesh Krishnamurthy

Murali Gopinathan

Aleksandar Bozin

A system and method intelligently and automatically improves the performance of a model. The system employs heuristics to select a plurality of performance rules that conform to one or more criteria specified for the performance analysis process. The performance rules include checks to be run on the model and offer advice, such as proposed changes that, if made to the model, may improve its performance. The system may evaluate the proposed changes to determine whether or not they produce an improvement in the model's performance. Proposed changes validated as improving model performance are retained, while proposed changes found not to improve performance are removed.

System and method for improving model performance

A performance testing and analysis environment performs tests on programming code and identifies any performance regressions. Tests exhibiting performance regressions are rerun, and the initial regressions are confirmed as genuine regressions or not. Analysis of the code under test and the performance under the tests are analyzed. The root causes of the performance regressions are identified. The process is fully automated and is performed quickly.

Automatic performance testing and performance regression analysis in a continuous integration environment

In a graphical modeling environment supporting a model having at least two different analysis frameworks operating therein, a system and corresponding method of processing the graphical model modify the model to group model portions together for processing in the same analysis framework. Model parts are identified and associated with the analysis framework in which they operate. Model parts are then grouped based on their association with their analysis framework to form model portions that operate in one of the different analysis frameworks, In instances where topological separation of model portions operating in the same analysis framework occurs, the system and method reconfigure intervening model portions to be amenable with operation in the analysis framework of the surrounding model portions to improve processing efficiency.

System and method for graphical model processing

A device may detect a user interaction, via a user interface, with a particular component of a model. The device may generate a set of components, associated with the particular component, based on detecting the user interaction with the particular component of the model. The device may cause a representation of the set of components to be provided, via the user interface, in association with the model. The representation may indicate that the set of components are associated with permitting interoperability.

Port management for graphical modeling

A device may receive a model that includes multiple blocks. The model may include first variables that contribute to a first calculation and second variables that contribute to a second calculation. The device may determine first dependencies associated with the first variables and may determine second dependencies associated with the second variables. The device may generate a first execution function based on determining the first dependencies. The first execution function may identify first blocks that are to be executed to perform the first calculation. The device may generate a second execution function based on determining the second dependencies. The second execution function may identify second blocks that are to be executed to perform the second calculation. The device may cause the first blocks and the second blocks to be executed in a different manner based on the first execution function and the second execution function.

Graph-based partitioning of dynamic system execution

A modeling environment is provided allowing a user to generate, from a source representation of a model, a target representation of a model and a listing of the optimization performed during generation of the target representation which is associated with the target representation or the source representation. The model may represent a system, such as a dynamic system. The source representation of the model may be a graphical or textual representation. In some embodiments a user may specify whether to implement the optimization.

Optimization tracing

A system and method automatically ensures consistency among a design model and one or more test models that test the design model. The system may include a broker adapted to construct an interface specification. The interface specification identifies the interface of the design model, e.g., its external inputs, external outputs, and initialization states. It may also identify the outputs, inputs, and initialization setting objects of the test models. Proposed changes to the design model's interface may be captured by the broker, and applied to the design model and to the test models atomically. Proposed changes to a given test model that implicate the design model's interface also may be captured, and applied to the given test model, the other test models, and the design model atomically. Default behaviors may be defined for applying the proposed changes to the other test models and the design model.

Self-testing graphical component algorithm specification

A system and method automatically ensures consistency among a design model, an interface specification and one or more tests that test the design model. The system may include a broker adapted to construct the interface specification. The interface specification identifies the interface of the design model, e.g., its external inputs, external outputs, and initialization settings. It may also identify the outputs, inputs, and initialization setting objects of the tests. Proposed changes to any one of the design model's interface, the interface specification and the interfaces of the tests may be captured by the broker, and applied to the other two.

A device may receive information identifying a model including information associated with elements included in the model. The device may cause the model to be executed, and may collect data associated with executing the model. The device may determine performance information based on the collected data. The performance information may be associated with the elements included in the model. The device may generate a heat map based on the performance information. The heat map may associate an element, of the elements, with a visual representation indicating performance information, associated with the element, based on a heat map scale. The heat map scale may relate the performance information, associated with the element, to performance information associated with another element. The heat map may be a graphical interface that includes a graphical representation of the element and a graphical representation of the other element. The device may provide the heat map.

Interactive heat map for graphical model performance view

A device may receive information identifying a model that, when executed, may cause an operation to be performed. The device may identify a unit associated with the operation. The device may determine that the unit is at least one of: an abstract unit, a unit associated with a dimensionless quantity, a sub-unit, a partial unit, a dynamic unit, or an enumerated unit. The device may determine information that identifies a unit property associated with the unit. The unit property may identify an attribute that is to be used to determine a unit rule associated with the unit. The device may determine a unit rule based on the unit property and information associated with the operation. The unit rule may indicate a manner in which the device is to determine a result associated with the operation. The device may provide the result, associated with the operation, based on the unit rule.

Heterogeneous units management system with dimensionless, ambiguous, and partial units

A device, method and tangible computer-readable medium are provided for detecting output discrepancies between representations of a block in two system models. For example, a first representation of a block may represent a default configuration and may execute in a first model. A second representation of the block may represent a user-modified configuration for the block and may execute in a second model. The user may execute the first and second models and may compare results using an exemplary embodiment. The embodiment may allow the user to define criteria and weightings for the criteria and to use the criteria for generating objective functions and constraints. The objective functions and constraints may be used to evaluate the performance of the two models. The embodiment may further perform trace back operations with respect to a model to determine a location in the model that produces an output discrepancy.

Model-to-data and data-to-model traceability

A device receives model information associated with a modeling application. The device determines first and second conflicting information in the model information. The first and second conflicting information describe different characteristics of a model described by the model information. The device formats the first and second conflicting information in a manner that designates the first conflicting information as a first variant of the model and the second conflicting information as a second variant of the model. The model, when executed with the first variant, behaves in a different manner than when executed with the second variant. The device provides the formatted first and second conflicting information to the modeling application, provides information that identifies the first and second variant, receives a user selection of information that identifies the first variant or second variant, and executes the model based on the user selection.

Generating variants from file differences

Methods and systems for controlling versions of models in modeling environments are disclosed. The versions of models and component interfaces are stored in a repository and checked in and out of the repository. The version designation of a model is changed when the model is checked in the repository. A selected version of the model is checked out of the repository and loaded directly in a memory so that users may load the selected version of the model without error. The loaded model is displayed with information on the version of the model. The version information may include the version number and author of the version. The version information may also include information on whether the model is locked with a version or in a read only mode.

Version control in modeling environments

The illustrative embodiment of the present invention provides a method of reconciling and merging differences between displayed electronic diagrams. After differences between corresponding areas of the two electronic diagrams are detected, the software provides a mechanism for merging different attributes between the diagrams. Alternatively, the second diagram may receive all of the differences identified from the first diagram. Distinctions are made between graphical and functional attributes noted as differences between the two diagrams prior to the merge operation. The illustrative embodiment of the present invention enables the user to specify which type of attribute differences should be merged (i.e., graphical differences, functional differences, both graphical and functional, or only selected differences).

Merging electronic diagrams

Growing community of inventors

South Grafton, MA, United States of America

Robert Olson Aberg