Abstract
| Original language | Undefined |
|---|---|
| Place of Publication | Enschede |
| Publisher | Centre for Telematics and Information Technology (CTIT) |
| Number of pages | 32 |
| Publication status | Published - 24 Jun 2015 |
Publication series
| Name | CTIT Technical Report Series |
|---|---|
| Publisher | University of Twente, Centre for Telematics and Information Technology (CTIT) |
| No. | TR-CTIT-15-04 |
| ISSN (Print) | 1381-3625 |
Keywords
- Throughput
- Voltage and Frequency Islands
- IR-96408
- Transition overheads
- EC Grant Agreement nr.: FP7/318490
- Heterogeneous
- EC Grant Agreement nr.: FP7/2007-2013
- Data flow
- Green Computing
- Dynamic Voltage and Frequency Scaling (DVFS)
- Dynamic Power Management (DPM)
- Priced Timed Automata
- UPPAAL
- METIS-312652
- Power Minimisation
- EWI-26102
Cite this
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Green computing: power optimisation of VFI-based real-time multiprocessor dataflow applications (extended version). / Ahmad, W.; Holzenspies, P.K.F.; Stoelinga, Mariëlle Ida Antoinette; van de Pol, Jan Cornelis.
Enschede : Centre for Telematics and Information Technology (CTIT), 2015. 32 p. (CTIT Technical Report Series; No. TR-CTIT-15-04).Research output: Book/Report › Report › Professional
TY - BOOK
T1 - Green computing: power optimisation of VFI-based real-time multiprocessor dataflow applications (extended version)
AU - Ahmad, W.
AU - Holzenspies, P.K.F.
AU - Stoelinga, Mariëlle Ida Antoinette
AU - van de Pol, Jan Cornelis
N1 - Technical Report accompanying DSD 2015 paper.
PY - 2015/6/24
Y1 - 2015/6/24
N2 - Execution time is no longer the only performance metric for computer systems. In fact, a trend is emerging to trade raw performance for energy savings. Techniques like Dynamic Power Management (DPM, switching to low power state) and Dynamic Voltage and Frequency Scaling (DVFS, throttling processor frequency) help modern systems to reduce their power consumption while adhering to performance requirements. To balance flexibility and design complexity, the concept of Voltage and Frequency Islands (VFIs) was recently introduced for power optimisation. It achieves fine-grained system-level power management, by operating all processors in the same VFI at a common frequency/voltage.This paper presents a novel approach to compute a power management strategy combining DPM and DVFS. In our approach, applications (modelled in full synchronous dataflow, SDF) are mapped on heterogeneous multiprocessor platforms (partitioned in voltage and frequency islands). We compute an energy-optimal schedule, meeting minimal throughput requirements. We demonstrate that the combination of DPM and DVFS provides an energy reduction beyond considering DVFS or DMP separately. Moreover, we show that by clustering processors in VFIs, DPM can be combined with any granularity of DVFS. Our approach uses model checking, by encoding the optimisation problem as a query over priced timed automata. The model-checker Uppaal Cora extracts a cost minimal trace, representing a power minimal schedule. We illustrate our approach with several case studies on commercially available hardware.
AB - Execution time is no longer the only performance metric for computer systems. In fact, a trend is emerging to trade raw performance for energy savings. Techniques like Dynamic Power Management (DPM, switching to low power state) and Dynamic Voltage and Frequency Scaling (DVFS, throttling processor frequency) help modern systems to reduce their power consumption while adhering to performance requirements. To balance flexibility and design complexity, the concept of Voltage and Frequency Islands (VFIs) was recently introduced for power optimisation. It achieves fine-grained system-level power management, by operating all processors in the same VFI at a common frequency/voltage.This paper presents a novel approach to compute a power management strategy combining DPM and DVFS. In our approach, applications (modelled in full synchronous dataflow, SDF) are mapped on heterogeneous multiprocessor platforms (partitioned in voltage and frequency islands). We compute an energy-optimal schedule, meeting minimal throughput requirements. We demonstrate that the combination of DPM and DVFS provides an energy reduction beyond considering DVFS or DMP separately. Moreover, we show that by clustering processors in VFIs, DPM can be combined with any granularity of DVFS. Our approach uses model checking, by encoding the optimisation problem as a query over priced timed automata. The model-checker Uppaal Cora extracts a cost minimal trace, representing a power minimal schedule. We illustrate our approach with several case studies on commercially available hardware.
KW - Throughput
KW - Voltage and Frequency Islands
KW - IR-96408
KW - Transition overheads
KW - EC Grant Agreement nr.: FP7/318490
KW - Heterogeneous
KW - EC Grant Agreement nr.: FP7/2007-2013
KW - Data flow
KW - Green Computing
KW - Dynamic Voltage and Frequency Scaling (DVFS)
KW - Dynamic Power Management (DPM)
KW - Priced Timed Automata
KW - UPPAAL
KW - METIS-312652
KW - Power Minimisation
KW - EWI-26102
M3 - Report
T3 - CTIT Technical Report Series
BT - Green computing: power optimisation of VFI-based real-time multiprocessor dataflow applications (extended version)
PB - Centre for Telematics and Information Technology (CTIT)
CY - Enschede
ER -