The Mathworks, Inc.

Rajiv Ghosh-Roy

Katalin Maria Popovici

Ramamurthy Mani

Hidayet Tunc Simsek

Zhihong Zhao

Jonathan Raichek

Pieter Johannes Mosterman

John Edward Ciolfi

Brian Keith Ogilvie

Girish Venkataramani

Jared D MacDonald

Wang Chen

Michael A Vetsch

Wei Zang

Matthew H Fornero

Adam C Leon

Senthilkumar Manickavasagam

Abhijeet H Gadkari

A method may include receiving functional model information regarding a set of functional blocks associated with a functional model. The functional model may include a streaming algorithm for exchanging streaming data. The method may include receiving architectural model information regarding physical devices included in a target device from a hardware-software co-design platform. The physical devices may include a software based processing device and a hardware based processing device. The method may include mapping the functional blocks to the physical devices to allow the streaming data to be communicated between the software based processing device and the hardware based processing device. The method may include generating a streaming interface to model communication of the streaming data between the software based processing device and the hardware based processing device. The method may include generating computer code for implementing the functional model on the target device and outputting the computer code.

Streaming on hardware-software platforms in model based designs

In an embodiment, a system may receive information regarding a group of physical devices; receive information regarding a set of functional blocks associated with a functional model; and receive mapping information that indicates a mapping between the set of functional blocks and one or more physical devices of the group of physical devices. The system may further generate at least one functional effect associated with the functional model. The generating may be based on: the set of functional blocks, the mapping information, and the information regarding the one or more physical devices. The system may also store or output the at least one functional effect.

Automatic modeling, mapping, and code generation for homogeneous and heterogeneous platforms

A device receives information specifying a functional model that includes a set of variables and a set of computations, and receives debugging information associated with the functional model. The device generates computer code based on the set of computations associated with the functional model, the set of variables associated with the functional model, and the received debugging information. The device executes the generated computer code based on the debugging information.

Unified hardware and software debugging

A device receives information associated with a functional model, and generates the functional model based on the received information and with a technical computing environment (TCE), where the functional model including nodes, inputs, and outputs. The device also automatically detects architecture information from an architecture model associated with the functional model, and automatically assigns, based on the architecture information, at least one signal between two nodes of the functional model, a node and an input of the functional model, or a node and an output of the functional model. The device obtains information for code generation based on the assigned at least one signal, and stores the information for code generation.

Automatic assignment of signals for a functional model

A system and method configures a target processing entity having multiple processing elements to execute a graphical program. A first part of the graphical program is designated for execution by a first processing element, and a second part of the graphical program is designed for execution by a second processing element. A code generation system generates a single build file from the graphical program having an initialization section, suitable executable code sections for each processing element, and a communication section that supports communication between the two processing elements. The build file may be downloaded to, and run by the target processing entity to implement the graphical program at the target processing entity.

Generation of multi-domain code from a graphical program

In an implementation, a computing device-implemented method includes identifying a non-blocking block in a graphical block diagram that includes the non-blocking block and other blocks, the other blocks including one or more non-blocking blocks, one or more blocking blocks, or a combination of one or more non-blocking blocks and one or more blocking blocks, determining whether one or more of the other blocks are dependent on an output from the non-blocking block, and partitioning execution of the non-blocking block into two or more execution stages, generating an order of execution of the graphical blocks, the order including a first stage of execution of the two or more execution stages for the non-blocking block, followed by an execution of one or more of the other blocks that have been determined not be dependent on the output from the non-blocking block, followed by a second stage of execution of the two or more execution stages.

Non-blocking semantics for modeling systems

A mechanism for configuring an inspection component in a real-time model is disclosed. The inspection component includes user-configurable parameters that control the acquisition of data for the real-time model. The data acquisition and logging logic is set up using graphical blocks that are part of the larger real-time application model. When code generation is done for the model, the data acquisition logic is also automatically generated, and runs as part of the execution of a real-time task.

Growing community of inventors

Hudson, MA, United States of America

Rajiv Ghosh-Roy