EMEP: Early-Monitoring Error Prediction for Activity and Variability Resilience in a 28-nm RISC-V Controller

In situ timing monitoring significantly improves the energy efficiency of low-voltage digital ICs by eliminating the excessive timing margins inserted to address high PVT variations in conventional digital flows. However, such techniques face challenges related to design overhead and robustness. This article presents the early-monitoring error prediction (EMEP) technique to address these issues effectively. With minimal clock tree (CT) impact and low area (1.6%) and power overhead (2%), EMEP achieves 60% endpoint coverage. This wide coverage, combined with increased resilience against critical activity masking and variability, enhances system robustness. In addition, 4σ yield is ensured through statistical critical path identification. Automatically integrated into a 28-nm CMOS RISC-V microcontroller, EMEP recovers 86% of conventional energy margins and reduces energy consumption by 2.9 pJ/cycle (41%), outperforming traditional replicas by 61% and endpoint monitoring (EPM) techniques by 31%. EMEP operates the microcontroller with only 14.5% energy overhead compared with margin-free operation, which is essential to address activity uncertainty, becoming minimal when the slowest critical paths are active.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Solid-State Circuits
Published
2025-05-26
DOI
https://doi.org/10.1109/jssc.2025.3567294
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EMEP: Early-Monitoring Error Prediction for Activity and Variability Resilience in a 28-nm RISC-V Controller

Wim Dehaene, Clara Nieto Taladriz
IEEE Journal of Solid-State Circuits
Fault Detection and Control Systems
article

EMEP: Early-Monitoring Error Prediction for Activity and Variability Resilience in a 28-nm RISC-V Controller

Wim Dehaene, Clara Nieto Taladriz
article en

Abstract

In situ timing monitoring significantly improves the energy efficiency of low-voltage digital ICs by eliminating the excessive timing margins inserted to address high PVT variations in conventional digital flows. However, such techniques face challenges related to design overhead and robustness. This article presents the early-monitoring error prediction (EMEP) technique to address these issues effectively. With minimal clock tree (CT) impact and low area (1.6%) and power overhead (2%), EMEP achieves 60% endpoint coverage. This wide coverage, combined with increased resilience against critical activity masking and variability, enhances system robustness. In addition, 4σ yield is ensured through statistical critical path identification. Automatically integrated into a 28-nm CMOS RISC-V microcontroller, EMEP recovers 86% of conventional energy margins and reduces energy consumption by 2.9 pJ/cycle (41%), outperforming traditional replicas by 61% and endpoint monitoring (EPM) techniques by 31%. EMEP operates the microcontroller with only 14.5% energy overhead compared with margin-free operation, which is essential to address activity uncertainty, becoming minimal when the slowest critical paths are active.

IEEE Journal of Solid-State CircuitsVol. 61(2)
KU Leuven (BE)
Climate action
Openalex Percentile: Top 88%
Fault Detection and Control Systems
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.