Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | A Hardware/Operating System Co-Design Approach for Energy Optimization in Harsh Environments |
| ISBN (elektronisch) | 978-3-948571-16-0 |
| Publikationsstatus | Veröffentlicht - 23 Sept. 2025 |
Abstract
The increasing demand for in-situ data processing in harsh and remote environments - such as deep-well drilling operations - is raising the need for autonomous electronic systems capable of reliable control and data processing. Since electrical power from sources, such as generators, is not available in all scenarios, these systems rely on local power sources, such as batteries. Energy efficiency is therefore a primary design constraint. To ensure robustness across a wide temperature range (-40°C to 175° C) and under mechanical stress, we employ 180 nm SOI technology, which is considered state of the art for harsh-environment applications [1]. However, this technology imposes considerable limitations on energy-saving strategies. In particular, leakage currents are negligible (1 % of system power), which renders common techniques such as race-to-completion combined with aggressive power gating largely ineffective. Our evaluation confirms that executing tasks quickly at high clock rates and powering down afterward provides little energy benefit in this context. Instead, we investigate alternative approaches better suited to the characteristics of this SOI technology. Specifically, operating the processor at the lowest feasible supply voltage and frequency significantly reduces dynamic energy per cycle. Moreover, the wide thermal operating range enables temperature-dependent voltage scaling, providing for further energy savings. We propose a HW/OS co-design approach in which a RISC-V processor is extended with hardware support for dynamic voltage and frequency control. These controls are exposed to the OS, enabling fine-grained, workload-aware energy management while ensuring system reliability. The resulting platform adapts its voltage-frequency operating points to ambient temperature, offering a robust and efficient power solution for autonomous computing in harsh environments. Initial simulations show possible energy savings up to 48 %, compared to the race-to-completion approach.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Angewandte Informatik
- Erdkunde und Planetologie (insg.)
- Geophysik
- Physik und Astronomie (insg.)
- Strahlung
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Physik und Astronomie (insg.)
- Instrumentierung
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- BibTex
- RIS
A Hardware/Operating System Co-Design Approach for Energy Optimization in Harsh Environments. 2025.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A Hardware/Operating System Co-Design Approach for Energy Optimization in Harsh Environments
AU - Rumpeltin, Nico
AU - Thomas, Tim-Marek
AU - Rücker, Malte
AU - Hawich, Malte
AU - Lohmann, Daniel
AU - Blume, Holger
N1 - Publisher Copyright: © 2025 Deutscher Landesausschuss in der Bundesrepublik Deutschland e.V.
PY - 2025/9/23
Y1 - 2025/9/23
N2 - The increasing demand for in-situ data processing in harsh and remote environments - such as deep-well drilling operations - is raising the need for autonomous electronic systems capable of reliable control and data processing. Since electrical power from sources, such as generators, is not available in all scenarios, these systems rely on local power sources, such as batteries. Energy efficiency is therefore a primary design constraint. To ensure robustness across a wide temperature range (-40°C to 175° C) and under mechanical stress, we employ 180 nm SOI technology, which is considered state of the art for harsh-environment applications [1]. However, this technology imposes considerable limitations on energy-saving strategies. In particular, leakage currents are negligible (1 % of system power), which renders common techniques such as race-to-completion combined with aggressive power gating largely ineffective. Our evaluation confirms that executing tasks quickly at high clock rates and powering down afterward provides little energy benefit in this context. Instead, we investigate alternative approaches better suited to the characteristics of this SOI technology. Specifically, operating the processor at the lowest feasible supply voltage and frequency significantly reduces dynamic energy per cycle. Moreover, the wide thermal operating range enables temperature-dependent voltage scaling, providing for further energy savings. We propose a HW/OS co-design approach in which a RISC-V processor is extended with hardware support for dynamic voltage and frequency control. These controls are exposed to the OS, enabling fine-grained, workload-aware energy management while ensuring system reliability. The resulting platform adapts its voltage-frequency operating points to ambient temperature, offering a robust and efficient power solution for autonomous computing in harsh environments. Initial simulations show possible energy savings up to 48 %, compared to the race-to-completion approach.
AB - The increasing demand for in-situ data processing in harsh and remote environments - such as deep-well drilling operations - is raising the need for autonomous electronic systems capable of reliable control and data processing. Since electrical power from sources, such as generators, is not available in all scenarios, these systems rely on local power sources, such as batteries. Energy efficiency is therefore a primary design constraint. To ensure robustness across a wide temperature range (-40°C to 175° C) and under mechanical stress, we employ 180 nm SOI technology, which is considered state of the art for harsh-environment applications [1]. However, this technology imposes considerable limitations on energy-saving strategies. In particular, leakage currents are negligible (1 % of system power), which renders common techniques such as race-to-completion combined with aggressive power gating largely ineffective. Our evaluation confirms that executing tasks quickly at high clock rates and powering down afterward provides little energy benefit in this context. Instead, we investigate alternative approaches better suited to the characteristics of this SOI technology. Specifically, operating the processor at the lowest feasible supply voltage and frequency significantly reduces dynamic energy per cycle. Moreover, the wide thermal operating range enables temperature-dependent voltage scaling, providing for further energy savings. We propose a HW/OS co-design approach in which a RISC-V processor is extended with hardware support for dynamic voltage and frequency control. These controls are exposed to the OS, enabling fine-grained, workload-aware energy management while ensuring system reliability. The resulting platform adapts its voltage-frequency operating points to ambient temperature, offering a robust and efficient power solution for autonomous computing in harsh environments. Initial simulations show possible energy savings up to 48 %, compared to the race-to-completion approach.
KW - Co-design
KW - Dynamic Voltage Frequency Scaling
KW - OS
KW - Power Saving
KW - RISC-V
UR - http://www.scopus.com/inward/record.url?scp=105025051317&partnerID=8YFLogxK
U2 - 10.23919/IEEECONF67516.2025.11225154
DO - 10.23919/IEEECONF67516.2025.11225154
M3 - Conference contribution
SN - 979-8-3315-8640-9
BT - A Hardware/Operating System Co-Design Approach for Energy Optimization in Harsh Environments
ER -