随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需...随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需求进行分析的基础上,提出一种基于AXI验证IP(Verification IP,VIP)、SystemVerilog信箱和旗语的硬件加速器建模方法。该方法支持完备的总线协议特性,同时支持多个处理引擎的并行处理与乱序输出。以实际SoC项目中的通信基带加速器为例,对提出的建模方法进行介绍,并进行相应的系统级仿真与分析。所提出的建模方法可实现对硬件加速器总线行为的高效建模,能够有力支撑SoC验证以及系统架构评估,缩短项目的开发周期。展开更多
This paper discusses Python SystemVerilog (Python SV), a simulation-based verification approach leveraging the power of Python and SystemVerilog. The use of Python-implemented UVM classes in SystemVerilog en...This paper discusses Python SystemVerilog (Python SV), a simulation-based verification approach leveraging the power of Python and SystemVerilog. The use of Python-implemented UVM classes in SystemVerilog enables users to write less code, minimize errors and reduce the verification time. This paper evaluates the use of Python SV in the verification of digital designs, its benefits, limitations, and future prospects. Python-SystemVerilog (Python-SV) is a research area that investigates the feasibility of building a high-level verification environment using Python and SystemVerilog. Python-SV aims to provide a unified framework for the design, simulation, and verification of digital systems, with an emphasis on ease of use and productivity. SystemVerilog is a hardware description and verification language that is widely used for designing digital systems. On the other hand, Python is a powerful, high-level programming language that is widely used in various fields, including software engineering, scientific computing, and data analysis. Python’s popularity has grown in recent years, primarily due to its simplicity, ease of use, and wide range of libraries and frameworks. Python-SV research primarily focuses on the following areas: 1) Integration of Python and SystemVerilog: Python-SV aims to seamlessly integrate SystemVerilog and Python, allowing designers to write test benches and verification code in Python and interface them with SystemVerilog modules. This integration simplifies the development process, making it easier to write and maintain large and complex verification environments. 2) Development of Python libraries for verification: Python-SV research focuses on developing Python libraries specifically for digital system verification. These libraries provide a higher-level interface for writing test benches and other functions, such as analysis and visualization of simulation results. 3) Implementation of verification methodologies: Python-SV research investigates the implementation of various industry-standard verification methodologies, such as the Universal Verification Methodology (UVM), in Python. This implementation aims to enable designers to use Python to develop and simulate UVM-compliant test benches. 4) Development of simulation tools: Python-SV also explores the development of simulation tools that extend the capabilities of traditional SystemVerilog simulators. These tools leverage the capabilities of Python for complex data analysis and visualization and provide a more intuitive and user-friendly interface for working with simulation results. Overall, Python-SV research aims to bring the benefits of Python to the world of digital system verification, enabling designers to build more efficient, productive, and flexible verification environments.展开更多
文摘随着片上系统(System on Chip,SoC)芯片规模与功能复杂度的膨胀,硬件加速器已成为大规模SoC的重要组成部分。为了缩短产品交付时间,有必要开发硬件加速器仿真模型,以在SoC设计初期支撑架构的探索与评估。在对硬件加速器的特点与建模需求进行分析的基础上,提出一种基于AXI验证IP(Verification IP,VIP)、SystemVerilog信箱和旗语的硬件加速器建模方法。该方法支持完备的总线协议特性,同时支持多个处理引擎的并行处理与乱序输出。以实际SoC项目中的通信基带加速器为例,对提出的建模方法进行介绍,并进行相应的系统级仿真与分析。所提出的建模方法可实现对硬件加速器总线行为的高效建模,能够有力支撑SoC验证以及系统架构评估,缩短项目的开发周期。
文摘This paper discusses Python SystemVerilog (Python SV), a simulation-based verification approach leveraging the power of Python and SystemVerilog. The use of Python-implemented UVM classes in SystemVerilog enables users to write less code, minimize errors and reduce the verification time. This paper evaluates the use of Python SV in the verification of digital designs, its benefits, limitations, and future prospects. Python-SystemVerilog (Python-SV) is a research area that investigates the feasibility of building a high-level verification environment using Python and SystemVerilog. Python-SV aims to provide a unified framework for the design, simulation, and verification of digital systems, with an emphasis on ease of use and productivity. SystemVerilog is a hardware description and verification language that is widely used for designing digital systems. On the other hand, Python is a powerful, high-level programming language that is widely used in various fields, including software engineering, scientific computing, and data analysis. Python’s popularity has grown in recent years, primarily due to its simplicity, ease of use, and wide range of libraries and frameworks. Python-SV research primarily focuses on the following areas: 1) Integration of Python and SystemVerilog: Python-SV aims to seamlessly integrate SystemVerilog and Python, allowing designers to write test benches and verification code in Python and interface them with SystemVerilog modules. This integration simplifies the development process, making it easier to write and maintain large and complex verification environments. 2) Development of Python libraries for verification: Python-SV research focuses on developing Python libraries specifically for digital system verification. These libraries provide a higher-level interface for writing test benches and other functions, such as analysis and visualization of simulation results. 3) Implementation of verification methodologies: Python-SV research investigates the implementation of various industry-standard verification methodologies, such as the Universal Verification Methodology (UVM), in Python. This implementation aims to enable designers to use Python to develop and simulate UVM-compliant test benches. 4) Development of simulation tools: Python-SV also explores the development of simulation tools that extend the capabilities of traditional SystemVerilog simulators. These tools leverage the capabilities of Python for complex data analysis and visualization and provide a more intuitive and user-friendly interface for working with simulation results. Overall, Python-SV research aims to bring the benefits of Python to the world of digital system verification, enabling designers to build more efficient, productive, and flexible verification environments.
