Parallel Multi‐Operand Addition Using CPA‐Trees and Carry‐Select Adders

ABSTRACT Multi‐operand addition is a fundamental operation in high‐performance digital systems, with applications ranging from signal processing to cryptography. The classical approach for binary multi‐operand addition employs compression trees followed by a final prefix adder, which achieves high speed but requires irregular structures and complex descriptions. Alternatively, carry‐propagate adder (CPA)–based adder trees offer a more regular structure and facilitate efficient hardware implementation. In this work, we propose an alternative parallel architecture based on CPA‐trees combined with a final carry‐select adder (CSLA), which reduces delay while preserving regularity and synthesis friendliness. ASIC results show that the proposed architecture achieves competitive delay with only a slight area overhead. Furthermore, delay reductions are obtained while maintaining dynamic power and energy‐per‐operation values comparable to those of the conventional CPA‐tree, resulting in an attractive trade‐off between performance, hardware cost, and implementation simplicity. These results make the proposed binary adder trees attractive for ASIC implementations in arithmetic‐intensive applications.

Authors

Institutions

Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2026-07-23
DOI
https://doi.org/10.1002/cta.70568
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

Parallel Multi‐Operand Addition Using CPA‐Trees and Carry‐Select Adders

Fabian L. Cabrera, Oldemir Chiocchetta, Héctor Pettenghi, Lucas R. Kieslich
International Journal of Circuit Theory and Applications
Low-power high-performance VLSI design
article

Parallel Multi‐Operand Addition Using CPA‐Trees and Carry‐Select Adders

Fabian L. Cabrera, Oldemir Chiocchetta, Héctor Pettenghi, Lucas R. Kieslich
article en

Abstract

ABSTRACT Multi‐operand addition is a fundamental operation in high‐performance digital systems, with applications ranging from signal processing to cryptography. The classical approach for binary multi‐operand addition employs compression trees followed by a final prefix adder, which achieves high speed but requires irregular structures and complex descriptions. Alternatively, carry‐propagate adder (CPA)–based adder trees offer a more regular structure and facilitate efficient hardware implementation. In this work, we propose an alternative parallel architecture based on CPA‐trees combined with a final carry‐select adder (CSLA), which reduces delay while preserving regularity and synthesis friendliness. ASIC results show that the proposed architecture achieves competitive delay with only a slight area overhead. Furthermore, delay reductions are obtained while maintaining dynamic power and energy‐per‐operation values comparable to those of the conventional CPA‐tree, resulting in an attractive trade‐off between performance, hardware cost, and implementation simplicity. These results make the proposed binary adder trees attractive for ASIC implementations in arithmetic‐intensive applications.

International Journal of Circuit Theory and Applications
Universidade Federal de Santa Catarina (BR)
Openalex Percentile: Top 15%
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.

Parallel Multi‐Operand Addition Using CPA‐Trees and Carry‐Select Adders — Fabian L. Cabrera, Oldemir Chiocchetta, et al. · International Journal of Circuit Theory and Applications (2026) | TGRS Research Map | TGRS