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Enhancing RTL Synthesis with Incremental Synthesis Techniques

Screen Shot 2024-09-08 at 22.31.36.png
Screen Shot 2024-09-08 at 22.31.36.png

As an RTL Synthesis engineer in the integrated circuit (IC) industry, leveraging Incremental Synthesis is crucial for optimizing design iterations and achieving efficient performance. This blog explores advanced Incremental Synthesis techniques, highlighting specific case studies and the latest cutting-edge technologies in digital design.

The Role of Incremental Synthesis​

Incremental Synthesis focuses on re-synthesizing only the portions of the design that have changed, rather than the entire design. This approach significantly reduces synthesis runtime, making it particularly beneficial for large designs or iterative design processes.

Key Techniques in Incremental Synthesis​

1. Selective Re-synthesis
Selective re-synthesis involves identifying and re-synthesizing only the modified parts of a design, ensuring that the rest of the design remains intact. This technique enhances efficiency and maintains the stability of the unmodified sections.

Case Study:
A design team used Synopsys' Design Compiler for selective re-synthesis. By focusing on the changes, they achieved a 6x reduction in runtime compared to full synthesis. This approach was particularly effective for large-scale FPGA designs, allowing for quicker iterations and improved overall productivity.

Implementation:
Change Detection:
Use tools that can detect changes at the RTL level and isolate the affected areas.
Incremental Compilation:Apply incremental compilation techniques to re-synthesize only the modified portions.

2. Hierarchical Incremental Synthesis
Hierarchical Incremental Synthesis divides the design into smaller, manageable blocks. Each block can be synthesized independently, and only the modified blocks are re-synthesized during subsequent iterations.

Case Study:
A network processor design team adopted hierarchical incremental synthesis using Synopsys tools. By partitioning their design and synthesizing individual blocks, they managed to maintain high performance and accuracy while reducing synthesis runtime and complexity.

Implementation:
Design Partitioning:
Divide the design into hierarchical blocks to facilitate independent synthesis.
Block-Level Synthesis:Synthesize each block separately and integrate them to ensure consistency.

Advanced Approaches in Incremental Synthesis​

1. Physically Aware Incremental Synthesis
Physically Aware Incremental Synthesis incorporates physical design information into the synthesis process. This approach ensures that the synthesized netlist is optimized for placement and routing, reducing iterations between synthesis and physical design.

Case Study:
A semiconductor company used Mentor Graphics' Precision RTL Plus for physically aware incremental synthesis. This tool enabled them to achieve better timing closure and reduce physical design iterations by incorporating placement and routing information early in the synthesis process.

Implementation:
Physical Constraints Integration:
Integrate physical constraints into the synthesis process to guide optimization.
Placement-Aware Tools: Utilize tools that support physically aware synthesis for better timing and congestion management.

2. Power-Aware Incremental Synthesis
Power-Aware Incremental Synthesis optimizes the design for power consumption by incorporating power constraints during the synthesis process. This approach is essential for low-power and battery-operated applications.

Case Study:
A mobile processor design team used power-aware incremental synthesis to optimize their design for low power. By focusing on power constraints early in the synthesis process, they achieved significant reductions in dynamic and static power, enhancing the battery life of their devices.

Implementation:
Power Constraints:
Define power constraints early in the design process to guide synthesis.
Low-Power Techniques: Implement low-power techniques such as clock gating and multi-threshold voltage cells.
About author
Peng Yu
With a wealth of experience in formal verification projects, I specialize in two critical solutions: formal signoff with full proof and formal signoff with coverage. Throughout my career, I have successfully tackled a diverse range of designs, including Instruction units, Standard interfaces, User-defined interfaces, Bus matrices, Caches, MMUs, Schedulers, DMA controllers, Memory controllers, Interrupt controllers, Power management units, and various specific functional modules.

Drawing on this extensive project experience and a deep understanding of various design types, I have developed a unique formal verification methodology. This methodology has been honed through practical application and has proven highly effective in ensuring design correctness and efficiency.

One of my key achievements has been the independent creation of a comprehensive formal verification IP library. This library comprises nearly 200 units, encompassing basic, common, VIP, and flow libraries. These resources, combined with my methodology, have been successfully deployed in the product development workflows of numerous leading chip companies. The results speak for themselves, with significant improvements in verification effectiveness and performance observed across the board.

My goal is to share this expertise with students at EDA Academy, providing them with practical insights and industry best practices that they can apply directly to their own projects. By imparting this knowledge, I aim to empower learners to achieve their verification goals with confidence and efficiency.

EDA Academy:https://www.eda-academy.com
Explore our current Formal Verification courses:
  1. Introduction to Formal Verification
  2. Formal Verification: SVA Coding
  3. Formal Verification: PSL Coding

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Peng Yu
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