Design And Analysis of Low Power Single Exact Adder Dual Approximate Adder

Allabaksh Shaik, Dasari Keerthi Reddy, Bisabathini Kireeti, Gayam Yuva Tejasree and C Pavan Kumar

International Journal of Scientific Research in Science and Technology, 2024, vol. 11, issue 2, 313-320

Abstract: The notion of approximation computing has attracted a great deal of interest and recognition, primarily because of its noteworthy benefits with respect to energy efficiency in a variety of applications that are somewhat error-tolerant. The current study offers a suggested adder that is ideal for processor integration since it can execute dual approximate addition (SEDA) and n-bit single exact addition. In this study, approximate adders with dynamic runtime reconfigurability between accurate and approximate modes at the circuit level are designed. In this paper, we present the idea of highly configurable Single Exact Single Approximate (SESA) adders, which provide fine control over the trade-off between exact and approximate computing modes. Furthermore, we introduce the Single Exact Dual approximation (SEDA) adder, which provides the option to adjust the granularity level between exact and approximation modes. The SEDA adder, as opposed to SESA adders, makes it easier to carry out two approximation computations simultaneously. For both the SESA and SEDA adders, the maximum bounded error is present. After being installed at a 32nm technology node, the Tanner EDA tool was used to evaluate the SESA and SEDA adders.

Keywords: Mirror Adder; SEDA Adder; Power Consumption; Voltage Scaling; Error Mitigation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST2411225 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST2411225/IJSRST2411225 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v11:y2024:i2:id:41

DOI: 10.32628/IJSRST2411225

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().