Aware, Inc.

The Mathworks, Inc.

Broadcom Corporation

Infineon Technologies Ag

Avago Technologies International Sales Pte. Limited

Murat Belge

David H Koh

Michael A Tzannes

Halil Padir

Pieter Johannes Mosterman

Christopher C Cunningham

Zijad Galijasevic

Rainer Storn

James K Weixel

Antonin Ancelle

Mazen Kachmar

A device may connect to a physical device. A device may obtain a device description document relating to the physical device based on connecting to the physical device. The device may parse the device description document to identify one or more components of the physical device. The device may select, from a repository of generic textual model components, one or more generic textual model components corresponding to the physical device based on parsing the device description. The device may generate, based on selecting the one or more generic textual model components, a device driver model element that includes the one or more generic textual model components. The device driver model element may be used to control the physical device or receive information from the physical device. The device may provide, via a user interface, information identifying the device driver model element.

Component-based framework for generating device driver model elements

In one embodiment, a method of implementing interrupt prioritization and preemption in a modeling environment is provided. The method may include obtaining a model including interrupt-generating components in the modeling environment, obtaining information describing interrupts in the model, and using the information describing the interrupts in the model to automatically generate code for prioritizing the interrupts in the modeling environment.

Automatic prioritization of interrupts in a modeling environment

A method may include receiving, by a device, information associated with a model. The method may include determining, by the device, performance criteria for program code generated based on the model. The method may include determining, by the device, profiling information associated with the program code. The method may include determining, by the device and based on the profiling information, that the performance criteria is not satisfied. The method may include applying, by the device and based on determining that the performance criteria is not satisfied, a modification technique to a portion of the model to create a modified model. The modification technique may be applied to the portion of the model to cause program code, generated based on the modified model, to satisfy the performance criteria.

Modifying models based on profiling information

In an embodiment, a method for interactively changing allocation of an application including multiple algorithm components executing on a heterogeneous target environment (HTE) provides a user interface in a co-simulation design environment. The user interface is associated with the application having multiple algorithm components executing on the HTE that includes multiple computing devices with different processing capabilities. The method also sets attributes of the allocation scheme of the application using the user interface. The setting occurs when the application is executing. The method further receives data associated with the executing of the application in the co-simulation design environment when the application is executing subsequent to the setting of the attributes of the allocation scheme.

Interactive partitioning and mapping of an application across multiple heterogeneous computational devices from a co-simulation design environment

In an embodiment, a method for interactively varying scheduling of a multi-threaded application executing on a symmetric multi-core processor provides an interface in a co-simulation design environment. The interface is associated with a multi-threaded application executing on a target processor that includes symmetric processor cores. The method also sets a scheduling attribute of the multi-threaded application using the interface. The setting occurs when the multi-threaded application is executing. The method further receives data associated with the executing of the multi-threaded application in the co-simulation design environment when the multi-threaded application is executing subsequent to the setting of the scheduling attribute.

Interactive scheduling of an application on a multi-core target processor from a co-simulation design environment

Through the use of a least squares minimization concept, the loop length, the number of bridged taps and length of the bridged taps on a transmission line can be determined from readily available modem data. In particular, the loop length, the number of bridge taps and the length of bridged taps can be estimated by comparing a measured frequency domain channel impulse response of the transmission line to a model of a loop that is comprised of multiple sections and multiple bridge taps.

Systems and methods for loop length and bridged tap length determination of a transmission line

A device generates code with a technical computing environment (TCE) based on a model and information associated with a target processor, registers an algorithm with the TCE, automatically sets optimization parameters applied during generation of the code based on the algorithm, executes the generated code, receives feedback based on execution of the generated code, and uses the feedback to automatically update the optimization parameters and to automatically regenerate the code with the TCE until an optimal code is achieved for the target processor.

Profiler-based optimization of automatically generated code

A system receives cache conditions and software information related to a software application, and automatically generates an optimal cache management scheme for the software application based on the received cache conditions and software information.

Automatic generation of cache-optimized code

Using DSL modems as data collectors, the modems processes the data to, for example, allow easier interpretation of the line characteristics. In particular, the modems postprocess the data including calibration, filter compensation, determination of the SNR medley from the bits and gains tables and rate conversion. The interpretation process uses the postprocessed data and determines loop characterization, interferer detection, a data reduction estimation and a data rate estimation. The outputs of these determinations least allow for the characterization of the line conditions between the two modems.

Systems and methods for characterizing transmission lines using broadband signals in a multi-carrier DSL environment

A device may execute application code in a first cache environment to obtain a first result. The first cache environment may be based on a first cache configuration that is associated with the application code. The device may determine a second cache configuration based on the first result and execute the application code in a second cache environment to obtain a second result. The second cache environment may be based on the second cache configuration. The device may select one of the first cache configuration or the second cache configuration as a selected cache configuration for the application code based on comparing the first result with the second result, and may configure the one or more caches based on the selected one of the first cache configuration or the second cache configuration.

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Westford, MA, United States of America

Murat Belge