Comparative Analysis of Reversible Arithmetic Logic Units (R-ALU) Using Verilog

Optimizing power consumption in circuits can be facilitated by exploring reversible computing within Quantum QCA design alongside CMOS architecture design. This paper introduces a comparative examination of four Reversible Arithmetic Logic Units. Certain parameters such as number of Reversible gates utilized, Dynamic & Static power, Area (Slice Look up tables consumed/LUT), Input-Output blocks (IOB), Garbage bits, No. of Arithmetic and Logical Operations performed have been studied. Among the examined reversible arithmetic logic units, ALU-D1 stands out for its minimal dynamic and static power consumption, totaling a typical process power of 2.769 watts. Following closely is ALU_RM, with a typical process power of 3.097 watts. ALU-D1 and ALUD2 exhibit the lowest IOB count, specifically 12, and also have the least Slice LUT consumption at 4/14400. In terms of construction, ALU-D1 and ALU-D2 utilize 11 reversible gates, while ALU_RM and ALU_RUG employ 14 and 13 reversible gates, respectively. Both ALU-D1 and ALU-D2 excel in executing 18 operations each, whereas ALU_RM and ALU_RUG handle 16 operations each. In nearly all aspects, ALU-D1 and ALU-D2 outperform their counterparts, except for a higher consumption of garbage bits in their construction. The study involves the implementation of various reversible Arithmetic Logic units using Verilog in Vivado ML Edition – 2023.2 for FPGA, targeting the Zynq-7000 family of FPGAs.

Authors

Institutions

Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/icecsp61809.2024.10698408
Citations
5
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of Reversible Arithmetic Logic Units (R-ALU) Using Verilog

Vandana Nath, Manoj Kumar, Manvendra Singh
5 citations
Quantum Computing Algorithms and Architecture
1.74
article

Comparative Analysis of Reversible Arithmetic Logic Units (R-ALU) Using Verilog

Vandana Nath, Manoj Kumar, Manvendra Singh
article en
5 citations

Abstract

Optimizing power consumption in circuits can be facilitated by exploring reversible computing within Quantum QCA design alongside CMOS architecture design. This paper introduces a comparative examination of four Reversible Arithmetic Logic Units. Certain parameters such as number of Reversible gates utilized, Dynamic & Static power, Area (Slice Look up tables consumed/LUT), Input-Output blocks (IOB), Garbage bits, No. of Arithmetic and Logical Operations performed have been studied. Among the examined reversible arithmetic logic units, ALU-D1 stands out for its minimal dynamic and static power consumption, totaling a typical process power of 2.769 watts. Following closely is ALU_RM, with a typical process power of 3.097 watts. ALU-D1 and ALUD2 exhibit the lowest IOB count, specifically 12, and also have the least Slice LUT consumption at 4/14400. In terms of construction, ALU-D1 and ALU-D2 utilize 11 reversible gates, while ALU_RM and ALU_RUG employ 14 and 13 reversible gates, respectively. Both ALU-D1 and ALU-D2 excel in executing 18 operations each, whereas ALU_RM and ALU_RUG handle 16 operations each. In nearly all aspects, ALU-D1 and ALU-D2 outperform their counterparts, except for a higher consumption of garbage bits in their construction. The study involves the implementation of various reversible Arithmetic Logic units using Verilog in Vivado ML Edition – 2023.2 for FPGA, targeting the Zynq-7000 family of FPGAs.

Guru Gobind Singh Indraprastha University (IN), National Institute of Technology Delhi (IN)
Openalex Percentile: Top 13%
Quantum Computing Algorithms and Architecture
1.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative Analysis of Reversible Arithmetic Logic Units (R-ALU) Using Verilog — Vandana Nath, Manoj Kumar, et al. · (2024) | TGRS Research Map | TGRS