TY - GEN
T1 - Experimental Assessment and Biaffine Modeling of the Impact of Ambient Temperature on SoC Power Requirements
AU - Vaddina, Kameswar Rao
AU - Brandner, Florian
AU - Memmi, Gérard
AU - Jouvelot, Pierre
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Based on fundamental physics-based considerations, we introduce the Biaffine Temperature-Voltage power model (BiTV) for SoC systems, which takes the influence of dynamic voltage, frequency, and ambient temperature conditions into account. Using an ARM-Cortex-based AM572x system operating in a temperature-controlled oven, we provide experimental evidence of the validity of the BiTV power model over a significant range of ambient temperatures (25 to 55 ∘C), voltages (0.98 to 1.23 V) and frequencies (100 to 1,500 MHz). These experiments and the BiTV model provide quantitative elements to assess the impact of ambient temperature on systems’ performance. Such insights could be of use to system designers and compiler writers, in particular when dealing with embedded systems operating in harsh conditions or under energy-critical constraints.
AB - Based on fundamental physics-based considerations, we introduce the Biaffine Temperature-Voltage power model (BiTV) for SoC systems, which takes the influence of dynamic voltage, frequency, and ambient temperature conditions into account. Using an ARM-Cortex-based AM572x system operating in a temperature-controlled oven, we provide experimental evidence of the validity of the BiTV power model over a significant range of ambient temperatures (25 to 55 ∘C), voltages (0.98 to 1.23 V) and frequencies (100 to 1,500 MHz). These experiments and the BiTV model provide quantitative elements to assess the impact of ambient temperature on systems’ performance. Such insights could be of use to system designers and compiler writers, in particular when dealing with embedded systems operating in harsh conditions or under energy-critical constraints.
KW - Energy
KW - energy profiling
KW - monitoring infrastructure
KW - temperature
UR - https://www.scopus.com/pages/publications/85218464160
U2 - 10.1007/978-3-031-78377-7_2
DO - 10.1007/978-3-031-78377-7_2
M3 - Conference contribution
AN - SCOPUS:85218464160
SN - 9783031783760
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 18
EP - 33
BT - Embedded Computer Systems
A2 - Carro, Luigi
A2 - Regazzoni, Francesco
A2 - Pilato, Christian
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024
Y2 - 29 June 2024 through 4 July 2024
ER -