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Description
The Synopsys 3DIC Compiler, which is founded on the premier digital implementation platform in the industry and leverages a unified fusion data model, facilitates a smooth transition to 2.5/3D heterogeneous integration. This comprehensive platform supports analysis-driven feasibility studies, multi-die partitioning, and the selection of foundry technology for both prototyping and floor planning in a single environment. As a result, it promotes effective design implementation that encompasses advanced packaging and die-to-die routing, coupled with golden signoff verification. Additionally, the 3DIC Compiler collaborates with Synopsys 3DSO.ai, the first autonomous AI optimization solution in the market for multi-die designs, enhancing system performance and ensuring quality outcomes regarding thermal integrity, signal integrity, and power network design. Widely embraced by clients, the 3DIC Compiler platform has also received certification from prominent foundries, validating its capabilities in advanced process and packaging technologies. This combination of features positions the 3DIC Compiler as a vital tool for engineers aiming to innovate in the realm of integrated circuit design.
Description
MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
API Access
Has API
API Access
Has API
Integrations
Python
Ubuntu
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Synopsys
Founded
1986
Country
United States
Website
www.synopsys.com/implementation-and-signoff/3dic-design.html
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy