Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems
The problems associated with the battery life of embedded systems were addressed by focusing on memory components that are heterogeneous and are known to meaningfully affect the power consumption and have not been fully exploited thus far. Our study establishes a model that predicts and orders the e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/11/2354 |
| _version_ | 1818037958703316992 |
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| author | Hayeon Choi Youngkyoung Koo Sangsoo Park |
| author_facet | Hayeon Choi Youngkyoung Koo Sangsoo Park |
| author_sort | Hayeon Choi |
| collection | DOAJ |
| description | The problems associated with the battery life of embedded systems were addressed by focusing on memory components that are heterogeneous and are known to meaningfully affect the power consumption and have not been fully exploited thus far. Our study establishes a model that predicts and orders the efficiency of function-level code relocation. This is based on extensive code profiling that was performed on an actual system to discover the impact and was achieved by using function-level code relocation between the different types of memory, i.e., flash memory and static RAM, to reduce the power consumption. This was accomplished by grouping the assembly instructions to evaluate the distinctive power reduction efficiency depending on function code placement. As a result of the profiling, the efficiency of the function-level code relocation was the lowest at 11.517% for the branch and control groups and the highest at 12.623% for the data processing group. Further, we propose a prior relocation-scoring model to estimate the effective relocation order among functions in a program. To demonstrate the effectiveness of the proposed model, benchmarks in the MiBench benchmark suite were selected as case studies. The experimental results are consistent in terms of the scored outputs produced by the proposed model and measured power reduction efficiencies. |
| first_indexed | 2024-12-10T07:35:07Z |
| format | Article |
| id | doaj.art-5e218f376ba8460aab88c1128311efa4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T07:35:07Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5e218f376ba8460aab88c1128311efa42022-12-22T01:57:26ZengMDPI AGApplied Sciences2076-34172019-06-01911235410.3390/app9112354app9112354Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded SystemsHayeon Choi0Youngkyoung Koo1Sangsoo Park2Computer Science and Engineering, Ewha Womans University, 52 Ewhayeodae Rd., Seodaemun District, Seoul 03760, KoreaComputer Science and Engineering, Ewha Womans University, 52 Ewhayeodae Rd., Seodaemun District, Seoul 03760, KoreaComputer Science and Engineering, Ewha Womans University, 52 Ewhayeodae Rd., Seodaemun District, Seoul 03760, KoreaThe problems associated with the battery life of embedded systems were addressed by focusing on memory components that are heterogeneous and are known to meaningfully affect the power consumption and have not been fully exploited thus far. Our study establishes a model that predicts and orders the efficiency of function-level code relocation. This is based on extensive code profiling that was performed on an actual system to discover the impact and was achieved by using function-level code relocation between the different types of memory, i.e., flash memory and static RAM, to reduce the power consumption. This was accomplished by grouping the assembly instructions to evaluate the distinctive power reduction efficiency depending on function code placement. As a result of the profiling, the efficiency of the function-level code relocation was the lowest at 11.517% for the branch and control groups and the highest at 12.623% for the data processing group. Further, we propose a prior relocation-scoring model to estimate the effective relocation order among functions in a program. To demonstrate the effectiveness of the proposed model, benchmarks in the MiBench benchmark suite were selected as case studies. The experimental results are consistent in terms of the scored outputs produced by the proposed model and measured power reduction efficiencies.https://www.mdpi.com/2076-3417/9/11/2354function-level code relocationprior relocation-scoringsource code insertioncode profilinglow-powerembedded systems |
| spellingShingle | Hayeon Choi Youngkyoung Koo Sangsoo Park Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems Applied Sciences function-level code relocation prior relocation-scoring source code insertion code profiling low-power embedded systems |
| title | Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems |
| title_full | Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems |
| title_fullStr | Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems |
| title_full_unstemmed | Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems |
| title_short | Modeling the Power Consumption of Function-Level Code Relocation for Low-Power Embedded Systems |
| title_sort | modeling the power consumption of function level code relocation for low power embedded systems |
| topic | function-level code relocation prior relocation-scoring source code insertion code profiling low-power embedded systems |
| url | https://www.mdpi.com/2076-3417/9/11/2354 |
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