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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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AI in Automotive Engineering
Use MATLAB to access and preprocess fleet and vehicle data, build machine learning and predictive models, and deploy models to enterprise IT systems. With MATLAB you can access data stored in files, databases, and the cloud. It helps in exploring modeling approaches using machine learning and deep learning apps and to accelerate algorithms with parallel processing on CPUs, NVIDIA® GPUs, the cloud, and datacenter resources. Automatic conversion of machine learning models to C/C++ code and deep learning models to CUDA® code helps in deployment of trained models or networks to production IT systems, without recoding into another language.
MathWorks is an AUTOSAR Premium Member and actively participates in the development of the standard with focus on the complete application of Model-Based Design with an AUTOSAR development process. Use Simulink and AUTOSAR Blockset™ to design and simulate Classic and Adaptive AUTOSAR systems. Then use Embedded Coder® to generate AUTOSAR code in C for Classic or C++ for Adaptive. Composition authoring with System Composer, as well as, round-trip ARXML-based integrations are supported.
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MATLAB® helps geoscientists understand the dynamics, preconditions, and trends related to Earth, the ocean, and the atmosphere. You can use MATLAB for projects such as studying climate change's impact on global coral reefs, analyzing seismic activity, or modeling water flow. MATLAB can help whether you’re collecting data from the field or from facilities such as IRIS's Data Managment Center.
Analyze and visualize your data using techniques such as statistics, ** processing, image processing, and mapping. With MATLAB, you can build and simulate models of past and future environmental events.
Work with a variety of data sources to access and analyze data from peer research, government- and university-funded data facilities, and other software packages. Synthesize flawed and large data, collaborate across universities and institutions, and access computing resources for large-scale analyses and simulations.
Explore community toolboxes and apps on File Exchange and GitHub®, where researchers often publish code artifacts tied to innovative scientific findings.
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为任意目标生成 HDL 代码
使用高层次综合合成技术,将硬件可实现的 MATLAB 或 Simulink 模型编译为可读、可追溯且可模型的 VHDL 或 Verilog HDL 代码。此代码经过了优化,可以跨任意
FPGA、ASIC 或 SoC 硬件进行移植。
无论您的硬件设计经验是否丰富,都可以生成高质量的 HDL 代码。通过高层级操作,您可以加快研究硬件架构的折中方案,以实现目标并自动生成 HDL 代码和接口。
基于模型的设计合作
借助 Simulink,算法开发人员可以与硬件、软件和模拟设计合作。他们可以使用同一个的模型来设计、研究折衷方案,并在开始实施之前验证系统架构。
直接通过这些模型生成 HDL 代码让您可以适应需求变化,并且可在 VHDL 或 Verilog、模型以及需求之间保持可追溯性。
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