Arithmetic logic units (ALUs) are core components of processing devices that perform required arithmetic and logical operations such as multiplication, division, addition, subtraction, and squaring. The multiplication operation is frequently used in ALUs in engineering applications such as signal processing, video processing and image processing for which floating-point multiplication is an important component. The dynamic range of numbers represented by floating-point arithmetic is very large compared with that of fixed-point numbers of the same bit width. A mantissa similarity investigator (MSI)interfaced multi-precision binary multiplier architecture is developed and can be used in data-intensive applications that require variable precision, high throughput and low delay. This architecture can be configured to operate in single-, double-, quadruple-and octuple-precision modes for mantissa multiplication according to the IEEE 754 standard for floating-point numbers. The system produces increased throughput and utilises mantissa similarity to reduce system delay. The system was synthesised for a variety of field-programmable gate array targets using Xilinx ISE Design Suite 14.7, and performance was simulated using that suite's ISim simulator. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.