VLSINOVA

IMPLEMENTATION PLAN

Design Flow Overview

The implementation follows a systematic ASIC design flow from RTL to GDS, ensuring comprehensive verification and optimization at each stage.

Front-End Design

  • • RTL Verilog coding and verification
  • • Testbench development and simulation
  • • Functional verification and debugging
  • • Initial synthesis and timing analysis

Back-End Design

  • • Physical design and placement
  • • Clock-tree synthesis and routing
  • • Parasitic extraction and timing closure
  • • Power and area optimization

Implementation Timeline

RTL Verilog Coding

October 1, 2025

Initial RTL Verilog coding of the motion estimator design

Verification and Debugging

October 15, 2025

Initial verification and debugging using basic Verilog testbench

Initial RTL Synthesis

October 26, 2025

First synthesis run and timing analysis

Final RTL Synthesis

November 20, 2025

Optimized synthesis with timing closure

Physical Design

November 30, 2025

Placement, routing, and optimization

Oral Presentation

December 13, 2025

Project presentation and demonstration

Written Report

December 23, 2025

Final documentation and project report

Design Methodology

RTL Development Phase

The RTL coding phase involves implementing the motion estimator using Verilog HDL, focusing on modular design and efficient algorithms for motion vector calculation.

  • Modular architecture with clear interfaces
  • Optimized algorithms for motion estimation
  • Comprehensive testbench development

Synthesis & Optimization

The synthesis phase transforms RTL code into gate-level netlists, followed by optimization for area, power, and timing constraints.

  • Technology mapping to 14nm CMOS libraries
  • Timing closure and optimization
  • Power analysis and optimization

Physical Design

The physical design phase involves placement, routing, and final optimization to create the GDS layout for fabrication.

  • Floorplanning and placement optimization
  • Clock-tree synthesis and routing
  • Final timing verification with Synopsys PrimeTime

Future Work & Extensions

Beyond the current implementation, several extensions and improvements are planned:

  • Advanced motion estimation algorithms (sub-pixel accuracy)
  • Support for higher resolution video formats (4K, 8K)
  • Machine learning-based motion prediction
  • Multi-core parallel processing architecture
  • Integration with video encoding standards (H.264, H.265, AV1)