Abstract: 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.

Abstract: 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.

Abstract: Exemplary embodiments allow executable graphical models, such as block diagram models, to be graphically partitioned for execution on concurrent computing resources. Embodiments allow model components to be grouped into subtasks that are affiliated with tasks associated with concurrent computing resources. Tasks and sub graphs can be mapped to concurrent computing resources according to characteristics, such as sample time, solver type, etc. Embodiments further allow mappings to be visually indicated to a user via various display techniques including color, text, icons, shading, grouping of identifiers, etc. Concurrently executing portions of a model allows model results to be obtained faster than can be obtained when models are executed on a single computing resource, such as a single processor.

Abstract: Exemplary embodiments allow executable graphical models, such as block diagram models, to be graphically partitioned for execution on concurrent computing resources. Embodiments allow model components to be grouped into subtasks that are affiliated with tasks associated with concurrent computing resources. Tasks and sub graphs can be mapped to concurrent computing resources according to characteristics, such as sample time, solver type, etc. Embodiments further allow mappings to be visually indicated to a user via various display techniques including color, text, icons, shading, grouping of identifiers, etc. Concurrently executing portions of a model allows model results to be obtained faster than can be obtained when models are executed on a single computing resource, such as a single processor.