Low-Power Complex Multiplier Pin Assignment Based on Spatial and Temporal Signal Properties

Fixed-point integer multipliers are power-intensive components that are integral to many systems in computing and digital signal processing. Operating on complex fixed-point numbers, the complex multiplier is critical to a wide range of applications including communication systems. Since channel properties drift over time, communication systems require adaptive processing blocks which have to be designed for the worst-case scenario. This raises the question of how we can take advantage of performance variations of a system to reduce power dissipation. We describe how knowledge on variations in both dynamic range (the spatial dimension) and switching frequency (the temporal dimension) can be used to assign pins of complex multipliers in order to minimize power dissipation. Using netlist synthesis based on the predictive 7-nm ASAP7 cell library, we find that, for instance, if one of two 12-bit input signals of the complex multiplier has a 2-bit reduced dynamic range and a 50% reduced switching frequency, we decrease the energy per operation by 20% by selecting the optimal pin assignment.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043457
Citations
1
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
6.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Power Complex Multiplier Pin Assignment Based on Spatial and Temporal Signal Properties

Per Larsson-Edefors, Erik Börjeson
1 citations
Advanced Computing and Algorithms
6.18
article

Low-Power Complex Multiplier Pin Assignment Based on Spatial and Temporal Signal Properties

Per Larsson-Edefors, Erik Börjeson
article en
1 citations

Abstract

Fixed-point integer multipliers are power-intensive components that are integral to many systems in computing and digital signal processing. Operating on complex fixed-point numbers, the complex multiplier is critical to a wide range of applications including communication systems. Since channel properties drift over time, communication systems require adaptive processing blocks which have to be designed for the worst-case scenario. This raises the question of how we can take advantage of performance variations of a system to reduce power dissipation. We describe how knowledge on variations in both dynamic range (the spatial dimension) and switching frequency (the temporal dimension) can be used to assign pins of complex multipliers in order to minimize power dissipation. Using netlist synthesis based on the predictive 7-nm ASAP7 cell library, we find that, for instance, if one of two 12-bit input signals of the complex multiplier has a 2-bit reduced dynamic range and a 50% reduced switching frequency, we decrease the energy per operation by 20% by selecting the optimal pin assignment.

Chalmers University of Technology (SE)
Affordable and clean energy
Openalex Percentile: Top 5%
Advanced Computing and Algorithms
6.18
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.

Low-Power Complex Multiplier Pin Assignment Based on Spatial and Temporal Signal Properties — Per Larsson-Edefors, Erik Börjeson · (2025) | TGRS Research Map | TGRS