Abstract
This paper presents an analysis of propagation delay (τp) for the static CMOS 4-bit ripple carry adder (RCA) and carry lookahead adder (CLA) using Cadence Virtuoso simulation environment with the GPDK090 technology library. The performance of both adder architectures was evaluated based on propagation delay. Simulation results show that the CLA achieves significantly lower propagation delay compared to the RCA. The carry-out delay of the RCA was observed to be 165.12 ps due to sequential carry propagation, whereas the CLA achieved a carry-out delay of 88.725 ps due to parallel carry computation. These improvements are attributed to the CLA's use of generating and propagating logic, which reduces switching activity and internal node toggling. This study confirms that CLA architecture offers superior speed and energy efficiency, making them ideal for high-performance and power-sensitive VLSI applications.
| Original language | English |
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| Title of host publication | Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2026 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331549701 |
| DOIs | |
| Publication status | Published - 2026 |
| Event | 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2026 - Hybrid, Gwalior, India Duration: 12-03-2026 → 14-03-2026 |
Publication series
| Name | Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2026 |
|---|
Conference
| Conference | 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2026 |
|---|---|
| Country/Territory | India |
| City | Hybrid, Gwalior |
| Period | 12-03-26 → 14-03-26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Information Systems and Management
- Management, Monitoring, Policy and Law
- Control and Optimization
- Health Informatics
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