Sym-CTS | symmetric clock tree synthesis for NTV IC design
kandi X-RAY | Sym-CTS Summary
kandi X-RAY | Sym-CTS Summary
Sym-CTS is a Python library. Sym-CTS has no bugs, it has no vulnerabilities and it has low support. However Sym-CTS build file is not available. You can download it from GitHub.
Sym-CTS is my graduate design which aims to design a symmetric clock tree for Near Threshold-Voltage(NTV) or Ultra-low voltage(ULV) Integrated Circuits Design. Circuits working at NTV suffers great variation and the performance of clock tree can be greatly reduced because of timing variation on clock buffers and clock gates. And symmetric clock tree synthesis(CTS) is a effective way to achieve a robost clock tree design under NTV or ULV. The project is currently based on Python3.7. Warning: The repository is prepared to migrate to Rust version.
Sym-CTS is my graduate design which aims to design a symmetric clock tree for Near Threshold-Voltage(NTV) or Ultra-low voltage(ULV) Integrated Circuits Design. Circuits working at NTV suffers great variation and the performance of clock tree can be greatly reduced because of timing variation on clock buffers and clock gates. And symmetric clock tree synthesis(CTS) is a effective way to achieve a robost clock tree design under NTV or ULV. The project is currently based on Python3.7. Warning: The repository is prepared to migrate to Rust version.
Support
Quality
Security
License
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Support
Sym-CTS has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Sym-CTS has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Sym-CTS is current.
Quality
Sym-CTS has no bugs reported.
Security
Sym-CTS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Sym-CTS does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Sym-CTS releases are not available. You will need to build from source code and install.
Sym-CTS has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Sym-CTS and discovered the below as its top functions. This is intended to give you an instant insight into Sym-CTS implemented functionality, and help decide if they suit your requirements.
- Generate stage1 control file
- Generate the common summary file for the model
- Generate a string representing the stage1 measurement
- Generate source string
- Generate genetic algorithm
- Return a list of offspring of a breeding pool
- Generate next generation
- Returns a random offspring of two parents
- Generate a spice
- Parse the time stamp from the MPP0 file
- Generate lut
- Generate stage2 control file
- Generate the string for stage2
- Load lut
- Read Lut file
- Loop over the network
- Removes a merge point
- Exports the evaluation statistics
- Convert a list of circuit files into a sequence
- R Staking
- Partition the network
- Export the netlist
- Read the settings
- Parse the symlink
- Prints out mean and standard deviation
- Loads sinks
Get all kandi verified functions for this library.
Sym-CTS Key Features
No Key Features are available at this moment for Sym-CTS.
Sym-CTS Examples and Code Snippets
No Code Snippets are available at this moment for Sym-CTS.
Community Discussions
No Community Discussions are available at this moment for Sym-CTS.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Sym-CTS
You can download it from GitHub.
You can use Sym-CTS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Sym-CTS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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