Design and Performance Analysis of hybrid adders for high speed arithmetic circuit

Authors: Rajkumar Sarma, Veerati Raju

12 PAGES, 10 FIGURES

Results of the summarizing process for the arXiv paper: 1207.2840v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
This paper presents the design and performance analysis of hybrid adders for high-speed arithmetic circuits. The authors focus on two techniques: Gate Diffusion Technique (GDI) and Pass Transistor Logic (PTL-GDI). The GDI technique is used to reduce power consumption, propagation delay, and power delay product (PDP) by eliminating redundant transistors in different logic gates. On the other hand, PTL reduces the count of transistors used in logic gates. The paper proposes two new designs based on GDI and PTL techniques which are found to be more power-efficient compared to existing design techniques. Both designs use only 10 transistors to implement the SUM and CARRY functions in a cascaded manner with an XOR cell as input for both SUM and CARRY cells. In the proposed GDI adder design, both the SUM and CARRY cells are designed using GDI technique while in the proposed PTL-GDI adder design, the SUM cell is constructed using PTL technique while the CARRY cell is designed using GDI technique. The advantages of both designs are discussed in detail along with simulation results obtained from Cadence Virtuoso 180nm environment to substantiate their significance. This paper contributes to improving power efficiency in arithmetic circuits through innovative adder designs based on GDI and PTL techniques with performance analysis providing valuable insights into their effectiveness compared to existing hybrid adders.
AI-generated keywords: Hybrid Adder GDI PTL-GDI Power Efficiency Arithmetic Circuits

AI-generated Key Points

  • The paper presents the design and performance analysis of hybrid adders for high-speed arithmetic circuits.
  • Two techniques are focused on: Gate Diffusion Technique (GDI) and Pass Transistor Logic (PTL-GDI).
  • GDI technique reduces power consumption, propagation delay, and power delay product (PDP) by eliminating redundant transistors in logic gates.
  • PTL reduces the count of transistors used in logic gates.
  • Two new designs based on GDI and PTL techniques are proposed, which are more power-efficient compared to existing design techniques.
  • Both designs use only 10 transistors to implement SUM and CARRY functions in a cascaded manner with an XOR cell as input for both SUM and CARRY cells.
  • In the proposed GDI adder design, both SUM and CARRY cells are designed using GDI technique.
  • In the proposed PTL-GDI adder design, the SUM cell is constructed using PTL technique while the CARRY cell is designed using GDI technique.
  • The advantages of both designs are discussed in detail along with simulation results obtained from Cadence Virtuoso 180nm environment to substantiate their significance.
  • The paper contributes to improving power efficiency in arithmetic circuits through innovative adder designs based on GDI and PTL techniques with performance analysis providing valuable insights into their effectiveness compared to existing hybrid adders.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: Adder cells using Gate Diffusion Technique (GDI) & PTL-GDI technique are described in this paper. GDI technique allows reducing power consumption, propagation delay and low PDP (power delay product) whereas Pass Transistor Logic (PTL) reduces the count of transistors used to make different logic gates, by eliminating redundant transistors. Performance comparison with various Hybrid Adder is been presented. In this paper, we propose two new designs based on GDI & PTL techniques, which is found to be much more power efficient in comparison with existing design technique. Only 10 transistors are used to implement the SUM & CARRY function for both the designs. The SUM and CARRY cell are implemented in a cascaded way i.e. firstly the XOR cell is implemented and then using XOR as input SUM as well as CARRY cell is implemented. For Proposed GDI adder the SUM as well as CARRY cell is designed using GDI technique. On the other hand in Proposed PTL-GDI adder the SUM cell is constructed using PTL technique and the CARRY cell is designed using GDI technique. The advantages of both the designs are discussed. The significance of these designs is substantiated by the simulation results obtained from Cadence Virtuoso 180nm environment.

Submitted to arXiv on 12 Jul. 2012

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.