Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP
Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks,...
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| Autor*in: |
Qiu, Meikang [verfasserIn] Jia, Zhiping [verfasserIn] Xue, Chun [verfasserIn] Shao, Zili [verfasserIn] Sha, Edwin H.-M. [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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Enthalten in: Journal of VLSI signal processing systems for signal, image and video technology - Springer Netherlands, 1989, 46(2007), 1 vom: Jan., Seite 55-73 |
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| Übergeordnetes Werk: |
volume:46 ; year:2007 ; number:1 ; month:01 ; pages:55-73 |
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10.1007/s11265-006-0002-0 |
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SPR018318606 |
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| 520 | |a Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. | ||
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10.1007/s11265-006-0002-0 doi (DE-627)SPR018318606 (SPR)s11265-006-0002-0-e DE-627 ger DE-627 rakwb eng Qiu, Meikang verfasserin aut Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. probability (dpeaa)DE-He213 assignment (dpeaa)DE-He213 DVS (dpeaa)DE-He213 real-time (dpeaa)DE-He213 DSP (dpeaa)DE-He213 Jia, Zhiping verfasserin aut Xue, Chun verfasserin aut Shao, Zili verfasserin aut Sha, Edwin H.-M. verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 46(2007), 1 vom: Jan., Seite 55-73 (DE-627)SPR018308090 nnns volume:46 year:2007 number:1 month:01 pages:55-73 https://dx.doi.org/10.1007/s11265-006-0002-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 46 2007 1 01 55-73 |
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10.1007/s11265-006-0002-0 doi (DE-627)SPR018318606 (SPR)s11265-006-0002-0-e DE-627 ger DE-627 rakwb eng Qiu, Meikang verfasserin aut Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. probability (dpeaa)DE-He213 assignment (dpeaa)DE-He213 DVS (dpeaa)DE-He213 real-time (dpeaa)DE-He213 DSP (dpeaa)DE-He213 Jia, Zhiping verfasserin aut Xue, Chun verfasserin aut Shao, Zili verfasserin aut Sha, Edwin H.-M. verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 46(2007), 1 vom: Jan., Seite 55-73 (DE-627)SPR018308090 nnns volume:46 year:2007 number:1 month:01 pages:55-73 https://dx.doi.org/10.1007/s11265-006-0002-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 46 2007 1 01 55-73 |
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10.1007/s11265-006-0002-0 doi (DE-627)SPR018318606 (SPR)s11265-006-0002-0-e DE-627 ger DE-627 rakwb eng Qiu, Meikang verfasserin aut Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. probability (dpeaa)DE-He213 assignment (dpeaa)DE-He213 DVS (dpeaa)DE-He213 real-time (dpeaa)DE-He213 DSP (dpeaa)DE-He213 Jia, Zhiping verfasserin aut Xue, Chun verfasserin aut Shao, Zili verfasserin aut Sha, Edwin H.-M. verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 46(2007), 1 vom: Jan., Seite 55-73 (DE-627)SPR018308090 nnns volume:46 year:2007 number:1 month:01 pages:55-73 https://dx.doi.org/10.1007/s11265-006-0002-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 46 2007 1 01 55-73 |
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10.1007/s11265-006-0002-0 doi (DE-627)SPR018318606 (SPR)s11265-006-0002-0-e DE-627 ger DE-627 rakwb eng Qiu, Meikang verfasserin aut Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. probability (dpeaa)DE-He213 assignment (dpeaa)DE-He213 DVS (dpeaa)DE-He213 real-time (dpeaa)DE-He213 DSP (dpeaa)DE-He213 Jia, Zhiping verfasserin aut Xue, Chun verfasserin aut Shao, Zili verfasserin aut Sha, Edwin H.-M. verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 46(2007), 1 vom: Jan., Seite 55-73 (DE-627)SPR018308090 nnns volume:46 year:2007 number:1 month:01 pages:55-73 https://dx.doi.org/10.1007/s11265-006-0002-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 46 2007 1 01 55-73 |
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10.1007/s11265-006-0002-0 doi (DE-627)SPR018318606 (SPR)s11265-006-0002-0-e DE-627 ger DE-627 rakwb eng Qiu, Meikang verfasserin aut Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. probability (dpeaa)DE-He213 assignment (dpeaa)DE-He213 DVS (dpeaa)DE-He213 real-time (dpeaa)DE-He213 DSP (dpeaa)DE-He213 Jia, Zhiping verfasserin aut Xue, Chun verfasserin aut Shao, Zili verfasserin aut Sha, Edwin H.-M. verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 46(2007), 1 vom: Jan., Seite 55-73 (DE-627)SPR018308090 nnns volume:46 year:2007 number:1 month:01 pages:55-73 https://dx.doi.org/10.1007/s11265-006-0002-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 46 2007 1 01 55-73 |
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Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP |
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Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. |
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Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. |
| abstract_unstemmed |
Abstract Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint. |
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| title_short |
Voltage Assignment with Guaranteed Probability Satisfying Timing Constraint for Real-time Multiproceesor DSP |
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https://dx.doi.org/10.1007/s11265-006-0002-0 |
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Jia, Zhiping Xue, Chun Shao, Zili Sha, Edwin H.-M. |
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2024-07-03T18:53:04.797Z |
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7.400094 |