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Model-Based Design enables medical device engineers to introduce and integrate agile approaches into their existing software development workflows by cleanly separating the design phase from the implementation steps.
Using Model-Based Design, you can:
Model and simulate algorithms and entire systems before implementation
Verify and validate the designs thoroughly at a higher-level abstraction
Prototype design and create proofs-of-concept by automatically generating C or HDL code
Produce customizable reports that can be used as evidence of regulatory compliance
Prove your code is safe under all possible run-time conditions using static analysis

Easily Scale Up Your Analysis
Use parfor loops and multiprocessor hardware to accelerate parallel analysis with almost no code changes. Create gpuarrays to take advantage of GPU acceleration for appropriate algorithms.

Controls
Examples: LEGO, Arduino

MathWorks application deployment products increase the benefit of MATLAB® to your organization by allowing you to share the work you do in MATLAB with people who do not have access to MATLAB. You can share with internal colleagues and decision makers, or external collaborators and clients.
Your MATLAB based programs can be deployed as standalone applications, add-ins for Microsoft® Excel®, and software components that can be integrated into web and enterprise applications. You can deploy any MATLAB program covering a range of industries and applications such as data science, semiconductor/electronics, manufacturing systems, image processing, aerospace/defense, and financial services.
All applications and components are encrypted to protect your intellectual property and can be shared royalty free.
When compared with manually recoding algorithms, deploying your MATLAB applications and components provides advantages, such as:
Domain experts can maintain ownership of ideas, algorithms, and applications.
Software developers have the flexibility to integrate a common algorithm with different programming languages and platforms.
Organizations gain efficiency by avoiding time consuming and error prone recoding, as well as easily adopting algorithm improvements throughout the application’s lifecycle.
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