A High-Speed Multiplier Design Using 2—Bit Reordering 4:3 Counter in a Wallace Tree Structure

It is known that the multiplier is widely applied, and to produce the outputs for the next stage, there is a reliance on the previous stage. Due to this, the multiplication process takes time to complete. As the binary bit counts of the multiplier and multiplicand increase, it takes longer to generate the output. This longer delay can severely impair the overall performance of digital systems, especially in applications requiring high-speed computations. Therefore, optimizing the Multiplier for both speed and power efficiency is crucial to enhancing the performance of modern computing architectures. To achieve this optimization, various techniques such as parallel processing and reduced gate counts can be employed. Moreover, utilising advanced algorithms and hardware accelerators can enhance the efficiency of these multipliers in challenging computational settings. This will affect the circuit performance. A new technique known as the reordering technique is implemented in this project to enhance the multiplier in terms of speed and efficiency. This method is implemented by separating the high-state bits from the low-state bits using the reordering circuit, and then the separated bits are processed in the usual manner. This helps in the reduction of critical path latency, which benefits by enhancing the circuit's power consumption as less power is being released as heat or another form.

Authors

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/icoei65986.2025.11013393
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A High-Speed Multiplier Design Using 2—Bit Reordering 4:3 Counter in a Wallace Tree Structure

S. Syed, Jameel Syed, Abdul Khader Khaderabad, Sahithi Ankirapalli et al.
Low-power high-performance VLSI design
article

A High-Speed Multiplier Design Using 2—Bit Reordering 4:3 Counter in a Wallace Tree Structure

S. Syed, Jameel Syed, Abdul Khader Khaderabad, Sahithi Ankirapalli, Swathi Lingamgunta, Sasi Priyanka Thammisetty
article en

Abstract

It is known that the multiplier is widely applied, and to produce the outputs for the next stage, there is a reliance on the previous stage. Due to this, the multiplication process takes time to complete. As the binary bit counts of the multiplier and multiplicand increase, it takes longer to generate the output. This longer delay can severely impair the overall performance of digital systems, especially in applications requiring high-speed computations. Therefore, optimizing the Multiplier for both speed and power efficiency is crucial to enhancing the performance of modern computing architectures. To achieve this optimization, various techniques such as parallel processing and reduced gate counts can be employed. Moreover, utilising advanced algorithms and hardware accelerators can enhance the efficiency of these multipliers in challenging computational settings. This will affect the circuit performance. A new technique known as the reordering technique is implemented in this project to enhance the multiplier in terms of speed and efficiency. This method is implemented by separating the high-state bits from the low-state bits using the reordering circuit, and then the separated bits are processed in the usual manner. This helps in the reduction of critical path latency, which benefits by enhancing the circuit's power consumption as less power is being released as heat or another form.

Openalex Percentile: Top 90%
Low-power high-performance VLSI design
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.