List of TPT Integrations
This is a list of platforms and tools that integrate with TPT. This list is updated as of April 2025.
-
1
MATLABĀ® provides a specialized desktop environment designed for iterative design and analysis, complemented by a programming language that facilitates the straightforward expression of matrix and array computations. It includes the Live Editor, which allows users to craft scripts that seamlessly integrate code, outputs, and formatted text within an interactive notebook format. The toolboxes offered by MATLAB are carefully crafted, rigorously tested, and extensively documented for user convenience. Moreover, MATLAB applications enable users to visualize the interactions between various algorithms and their datasets. Users can enhance their outcomes through iterative processes and can easily create a MATLAB program to replicate or automate their workflows. Additionally, the platform supports scaling analyses across clusters, GPUs, and cloud environments with little adjustment to existing code. There is no necessity to completely change your programming habits or to learn intricate big data techniques. MATLAB allows for the automatic conversion of algorithms into C/C++, HDL, and CUDA code, permitting execution on embedded processors or FPGA/ASIC systems. In addition, when combined with Simulink, MATLAB bolsters the support for Model-Based Design methodologies, proving to be a flexible tool for both engineers and researchers. This versatility underscores MATLAB as a vital asset for addressing a broad spectrum of computational issues, ensuring that users can effectively tackle their specific challenges with confidence.
-
2
Simulink
MathWorks
Empower innovation with seamless simulation and efficient prototyping.Utilize Simulink to develop and test your system before transitioning to real hardware, giving you the chance to delve into and implement creative designs that might often be overlooked, all without needing to write C, C++, or HDL code. By creating models for both the system under evaluation and the physical plant, you can explore a wider range of design possibilities. Your entire team can take advantage of a cohesive multi-domain platform that simulates how all components of the system interact with one another. Additionally, you can compile and distribute your simulation outcomes with colleagues, suppliers, and clients, facilitating collaborative insights. This strategy significantly reduces the risk of expensive prototypes by enabling experimentation with scenarios that could be perceived as too uncertain or impractical. Incorporate hardware-in-the-loop testing and rapid prototyping to verify the success of your design. This methodology allows for traceability from the early stages of requirement gathering through to design and code generation. Instead of manually producing countless lines of code, you can automatically generate high-quality C and HDL code that reflects your original Simulink model. Ultimately, deploy this code onto your embedded processor or FPGA/ASIC for flawless integration and functionality. This thorough process not only simplifies development but also markedly improves efficiency across the entire project timeline, paving the way for enhanced innovation. Furthermore, it allows teams to quickly iterate on designs, leading to quicker time-to-market for new products.
- Previous
- You're on page 1
- Next