3DIC CompilerSynopsys
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About
Synopsys 3DIC Compiler, built on the industry’s leading digital implementation platform and using a common fusion data model, enables seamless migration to 2.5/3D heterogeneous integration. In a single environment, the platform allows analysis-driven feasibility exploration, multi-die partitioning, and foundry technology selection for prototyping and floor planning. This enables analysis-driven design implementation, including advanced packaging and die-to-die routing, with golden signoff verification. 3DIC Compiler integrates with Synopsys 3DSO.ai, the industry’s first autonomous AI optimization solution for multi-die designs, to maximize system performance and quality of results for thermal integrity, signal integrity, and power network design. The 3DIC Compiler platform, successfully adopted by customers, is certified by leading foundries for advanced process and packaging technologies.
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About
MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and engineers seeking a tool to prototype and analyze their system planning operations
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Audience
Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationSynopsys
Founded: 1986
United States
www.synopsys.com/implementation-and-signoff/3dic-design.html
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Company InformationMPCPy
United States
github.com/lbl-srg/MPCPy
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Categories |
Categories |
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Integrations
Python
Ubuntu
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