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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python No 
Ubuntu No 

Integrations

Python Yes 
Ubuntu Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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

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