Abstract
The emergence of IoT (Internet of Things) has brought various studies on low-power techniques back to embedded systems. In general, minimizing power consumed by program executions is the main consideration of system design. While running programs, executing data-dependent program code results in a large number of memory accesses which consume huge amount of power. Further, most embedded systems consist of multiple types of memory devices, i.e., heterogeneous memory system, to benefit the different characteristics of memory devices. In this paper, we conduct a research on low-power techniques to reduce the power consumption of heterogeneous memory to achieve ultra-low-power in the system level. This study proposes a segment-aware energy-efficient management to improve the power efficiency considering the characteristics and structures of the memory devices. In the proposed approach, the technique migrates program code from allocated memory device to another if the consumed power is considered to be less. We also analyze and evaluate the comprehensive effects on energy efficiency by applying the technique as well. Compared to the unmodified program code, our model reduces power consumption up to 12.98% by migrating functions.
Original language | English |
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Title of host publication | 2017 2nd International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2017 |
Editors | Joel J. P. C. Rodrigues, Sandro Nizetic, Luigi Patrono, Joel J. P. C. Rodrigues, Zeljka Milanovic, Petar Solic, Katarina Vukojevic, Toni Perkovic |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9789532900712 |
State | Published - 28 Aug 2017 |
Event | 2nd International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2017 - Split, Croatia Duration: 12 Jul 2017 → 14 Jul 2017 |
Publication series
Name | 2017 2nd International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2017 |
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Conference
Conference | 2nd International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2017 |
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Country/Territory | Croatia |
City | Split |
Period | 12/07/17 → 14/07/17 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea funded by the Korean Government (NRF-2014S1A5B6037290)
Publisher Copyright:
© 2017 Univeristy of Split, FESB.
Keywords
- Heterogeneous memory
- Internet of Things
- Power consumption
- Segment
- Ultra-Low-Power