Also Available Domains Cadence EDA|Low Power VLSI
This project aims to create a low-power, high-density array multiplier by integrating: Memristor crossbar computing for in-memory multiply-accumulate, Hybrid CMOS-memristor cells for logic efficiency,
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software Requirements:
• Tool: Cadence Virtuoso
• Technology: GPDK 45nm&90nm
Hardware Requirements:
• Microsoft® Windows XP
• Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
• 512 MB RAM
• 100 MB of available disk space
Introduction to Array Multipliers and their significance in digital computation.
Understanding memory elements and their role in arithmetic circuits.
Fundamentals of memristor devices and their characteristics.
Learning the integration of memristors with CMOS circuits for low-power designs.
Design of low-power array multiplier architecture using memory elements and memristors.
Simulation and analysis of delay, power consumption, and area using VLSI tools (e.g., Cadence, SPICE).
Comparison of traditional CMOS multipliers vs memristor-based multipliers.
Understanding in-memory computing concepts and their impact on energy efficiency.
Real-time applications of low-power multipliers in DSP, signal processing, and AI hardware accelerators.
Scope of memristor-based arithmetic circuits in next-generation VLSI and low-power computing systems.