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Model Composer

Design, Simulate and Accelerate Path to Production


Model Composer is a Model-Based Design tool that enables rapid design exploration within the MathWorks Simulink® environment and accelerates the path to production on Xilinx devices through automatic code generation. You can express and iterate through your algorithms using high-level performance-optimized blocks and validate functional correctness through system-level simulations. Model Composer transforms your algorithmic specifications to production-quality implementation through automatic optimizations that extends the Xilinx High Level Synthesis technology.


Key Feature and Benefits

Accelerate Design Iterations

  • High-Level of Abstraction: Algorithm-centric building blocks, with a focus on functionality, provide ease-of-use essential for domain experts to accelerate design exploration.
  • Support for Vectors and Matrices: Enables frame-based algorithm design that saves you the time and effort to move to an intermediate low-level model for implementation.
  • Application-Specific Libraries: Performance-optimized DSP, Computer Vision, Math, and Linear Algebra libraries available as blocks for simulation and high-performance implementation on Xilinx devices.
  • Import synthesizable C/C++ as Custom Blocks: Ability to create your own custom blocks for simulation and code generation provides greater flexibility to design your differentiated algorithms. 
  • Seamless Integration with Simulink: Direct connection with blocks from the Simulink product family enables system-level modeling and simulation and the ability to fully leverage the stimulus generation and data visualization capabilities of Simulink's graphical environment.
  • Integer, Floating and Fixed-point Support: Supports the native floating and integer data types in Simulink and the fixed-point and half data types supported by Vivado HLS.

Transform Algorithm to Architecture

  • Automatic optimizations: Analyses your algorithmic specification within Simulink and performs automatic optimizations to steer towards a micro-architecture that optimizes for throughput, reduces Block RAM utilization, and enables concurrent execution of blocks.
  • Accelerate IP Creation:  Transform your simulate-able designs into a RTL IP package that you can use within the Vivado IP Integrator and leverage all the benefits of its plug-and-play IP Integration design environment for complex designs.
  • Extend to System Generator for DSP: Leverage the benefits of Model Composer's ease-of-use and simulation speed, for portions of your design and export the synthesized RTL into your existing System Generator for DSP designs as new custom blocks.
  • Export to Vivado HLS: Advanced feature that provides a link between Simulink's graphical environment to design, simulate and validate your algorithms and Vivado HLS, by automatically generating everything you would need to further optimize your algorithm, including test vectors logged from simulation.
  • User Interface to Map RTL Interfaces:  Easy to use graphical interface to map the inputs and outputs in your design to supported RTL interfaces (AXI4-Lite, AXI4-Stream, AXI4-Stream Video, FIFO, Block RAM) and video formats (AXI4-Stream Video) for implementation.
  • Automatic Test Bench Generation: Automatic logging of test vectors from simulation and generation of test bench to verify functional equivalence between the executable design and generated code.
What's New

In 2019.1, Model Composer ships with the following new Features and Enhancements:

  • DSP Block Library: New FFT, IFFT and FIR blocks are now available to design and implement signal processing algorithms with Model Composer

  • Enhancements to Throughput Control: Expanded list of blocks supported for Throughput Control. Build designs with supported blocks and control the throughput requirements of the implementation without making any structural changes to the design

  • Additional Blocks that Support Streaming Data : Design and Implement algorithms with high-throughput requirements using an expanded set of blocks that support operations on streaming data. Examples : Look-up Table, Delay, Matrix Multiply, Submatrix etc.

  • Enhanced Complex Support in C/C++ Function Import : Added support for importing functions that use hls::x_complex types as well, in addition to std::complex, expanding the support for complex signals in custom blocks.

  • Enhancements to C/C++ Function Import: Create custom "Source" blocks for your design using the xmcImportFunction feature

  • Improved Support for Row-Matrix and Column-Matrix Signal Dimensions: Improvements to the code generation infrastructure to handle Row-Matrix [Nx1] and Column-Matrix [1xN] signals in the design, resulting in improved performance.

  • Supported MATLAB Versions: R2018a, R2018b and R2019a

For more information on the features above, please refer to the Model Composer User Guide (UG1262)

Refer to the Download/Buy Tab for more information on getting access to Model Composer and try these new features now!

  • Throughput Control:  Specify the desired number of data samples processed per clock (a.k.a Super Sample Rate) in order to steer the automatic optimizations in Model Composer to achieve desired throughput without structural modifications to your design.

  • Debug Imported C/C++ Functions during Simulation: Use third-party debuggers to add breakpoints, step through and view intermediate variable values in the C/C++ code  associated to your custom Model Composer blocks, while the Simulink simulation is running

  • Complex Type Support in C/C++ Function Import: Import functions with arguments of type std::complex to create custom Model Composer blocks that can be connected to and simulated with complex signals in your design.

  • Getting Started Examples for C/C++ Function Import: Collection of simple examples for a quick introduction to features and capabilities of importing C/C++ functions as custom Model Composer blocks. Access these examples within the MATLAB Help Browser and use them as a starting point to import your own functions.

  • Math Blocks: New optimized Min, Max and Reshape Row-Major blocks added to the Math Functions sub-library, expanding the breadth of mathematical operations that can be modeled in your designs.

  • Signal Routing Blocks: New Mux and Demux blocks provide better control over routing signals in your designs by combining input signals into a larger output vector signal or splitting an input vector signal into constituent scalar/smaller vector outputs as required.

  • Supported MATLAB Versions: R2017a, R2017b and R2018a
  • New Color Detection Example: Color Detection algorithm for yellow traffic signs segmentation in input video stream, demonstrates how to use blocks from Model Composer library and how to import additional Xilinx-optimized reVISION xfOpenCV function to build a synthesizable design.
  • Overflow Detection for Fixed-Point Data Types: Data Type Conversion block supports detection of Saturation and Wrap on Overflows for Fixed-point data type conversions in the design.
  • Enhancements to C/C++ Function Import: Ease-of-use enhancements and Block GUI improvements make it easier to create and use Custom Blocks in your design through the C/C++ Function Import feature
  • Linear Algebra Block: New optimized QR Inverse block added into the Model Composer Linear Algebra library that contains the Hermitian, Matrix Multiply, Submatrix and Transpose blocks
  • Supported MATLAB Versions: R2017a, R2017b and R2018a
Download / Buy


Model Composer can be purchased as an add-on license to Vivado Design Edition, Vivado System Edition, Vivado WebPACK Edition and SDSoC Development Environment. 

To evaluate Model Composer, you can generate a free 90-day evaluation license at www.xilinx.com/getlicense.


Model Composer can be additionally selected as a Design Tool and installed through Vivado Installer or SDSoC installer.

Contact Us

If you have any questions around Model Composer features and capabilities, please feel free to reach out to us at modelcomposer@xilinx.com

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