![STATIC POWER ESTIMATION MODEL
Parameters determining the power consumption:
architectural parameters
functional parameters
technological parameters
Static power estimation model.
isoTISOPTISOP
TregRCPcmbP
LRISOLRPLRP
iONOFFlkgiONONlkg
iON
LRactors
lkglkg
ioverheadilkgONilkg
i
)]*#1(*)(*)([
*])*#()([
)()()(
ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni
6](https://image.slidesharecdn.com/tfanniphd-reconfig4split-160801142112/85/Power-Modelling-for-Saving-Strategies-in-Coarse-Grained-Reconfigurable-Systems-9-320.jpg)
![STATIC POWER ESTIMATION MODEL
Parameters determining the power consumption:
architectural parameters
functional parameters
technological parameters
Static power estimation model.
isoTISOPTISOP
TregRCPcmbP
LRISOLRPLRP
iONOFFlkgiONONlkg
iON
LRactors
lkglkg
ioverheadilkgONilkg
i
)]*#1(*)(*)([
*])*#()([
)()()(
ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni
6](https://image.slidesharecdn.com/tfanniphd-reconfig4split-160801142112/85/Power-Modelling-for-Saving-Strategies-in-Coarse-Grained-Reconfigurable-Systems-10-320.jpg)
![STATIC POWER ESTIMATION MODEL
Parameters determining the power consumption:
architectural parameters
functional parameters
technological parameters
Static power estimation model.
isoTISOPTISOP
TregRCPcmbP
LRISOLRPLRP
iONOFFlkgiONONlkg
iON
LRactors
lkglkg
ioverheadilkgONilkg
i
)]*#1(*)(*)([
*])*#()([
)()()(
ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni
6](https://image.slidesharecdn.com/tfanniphd-reconfig4split-160801142112/85/Power-Modelling-for-Saving-Strategies-in-Coarse-Grained-Reconfigurable-Systems-11-320.jpg)
![ACKNOWLEDGEMENTS
ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni
8
The research leading to these results has received funding
from:
the Region of Sardinia
L.R.7/2007 under grant agreement
CRP-18324 [RPCT Project].
the Region of Sardinia
L.R.7/2007 under grant agreement
CRP-60544 [ELoRA Project].](https://image.slidesharecdn.com/tfanniphd-reconfig4split-160801142112/85/Power-Modelling-for-Saving-Strategies-in-Coarse-Grained-Reconfigurable-Systems-13-320.jpg)
Power Modelling for Saving Strategies in Coarse Grained Reconfigurable Systems
- 1. POWER MODELLING FOR SAVING STRATEGIES IN COARSE GRAINED RECONFIGURABLE SYSTEMS Francesca Palumbo University of Sassari PolComIng Information Engineering Unit Tiziana Fanni, Carlo Sau, Paolo Meloni and Luigi Raffo University of Cagliari Dept. of Electrical and Electronics Eng. tiziana.fanni@unica.it. 2015 International Conference on ReConFigurable Computing and FPGAs E O L A B
- 2. OUTLINE Introduction Coarse-Graine Reconfiguration Multi Dataflow Composer tool Static Power Estimation Model PHD Plan Improve power estimation model Assess the technology impact Automate the strategy ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 2
- 3. INTRODUCTION Coarse-Graine Reconfiguration ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 3 A in1 D in2 F in3 E G B Sbox_1 Sbox_2 out1 C Sbox_0 ID net=1 LUTCoarse Grained Reconfigurable Platform A B C D E C A F CG Dataflow Descriptions N:1 α β γ α β γ 0 0 0
- 4. INTRODUCTION Coarse-Graine Reconfiguration ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 4 A in1 D in2 F in3 E G B Sbox_1 Sbox_2 out1 C Sbox_0 ID net=3 LUTCoarse Grained Reconfigurable Platform A B C D E C A F CG Dataflow Descriptions N:1 α β γ α β γ 1 1 0
- 5. INTRODUCTION Coarse-Graine Reconfiguration Power consumption Main Power Saving Methodologies Dynamic: Clock-gating Static: Power-gating ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 4 A in1 D in2 F in3 E G B Sbox_1 Sbox_2 out1 C Sbox_0 ID net=3 LUTCoarse Grained Reconfigurable Platform A B C D E C A F CG Dataflow Descriptions N:1 α β γ α β γ 1 1 0
- 6. INTRODUCTION http://sites.unica.it/rpct/ 5 Multi-Dataflow Composer Tool ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni A in1 D in2 F in3 E G B Sbox_1 Sbox_2 out1 C LR1 LR2: Always ON LR LR3 LR4 LR5 LR4 RTN RTN RTN RTN RTN RTN ISOL ISOL ISOLISOL Sbox_0 ISOL VDD SW VDD SW VDD SW ISOL VDD SW ID net Power Controller CG_en1 CG_en4 CG_en5 CG_en3 clock
- 7. INTRODUCTION http://sites.unica.it/rpct/ 5 Multi-Dataflow Composer Tool ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni A in1 D in2 F in3 E G B Sbox_1 Sbox_2 out1 C LR1 LR2: Always ON LR LR3 LR4 LR5 LR4 RTN RTN RTN RTN RTN RTN ISOL ISOL ISOLISOL Sbox_0 ISOL VDD SW VDD SW VDD SW ISOL VDD SW ID net Power Controller CG_en1 CG_en4 CG_en5 CG_en3 clock PG huge resources overhead
- 8. STATIC POWER ESTIMATION MODEL Parameters determining the power consumption: architectural parameters functional parameters technological parameters ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 6
- 9. STATIC POWER ESTIMATION MODEL Parameters determining the power consumption: architectural parameters functional parameters technological parameters Static power estimation model. isoTISOPTISOP TregRCPcmbP LRISOLRPLRP iONOFFlkgiONONlkg iON LRactors lkglkg ioverheadilkgONilkg i )]*#1(*)(*)([ *])*#()([ )()()( ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 6
- 10. STATIC POWER ESTIMATION MODEL Parameters determining the power consumption: architectural parameters functional parameters technological parameters Static power estimation model. isoTISOPTISOP TregRCPcmbP LRISOLRPLRP iONOFFlkgiONONlkg iON LRactors lkglkg ioverheadilkgONilkg i )]*#1(*)(*)([ *])*#()([ )()()( ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 6
- 11. STATIC POWER ESTIMATION MODEL Parameters determining the power consumption: architectural parameters functional parameters technological parameters Static power estimation model. isoTISOPTISOP TregRCPcmbP LRISOLRPLRP iONOFFlkgiONONlkg iON LRactors lkglkg ioverheadilkgONilkg i )]*#1(*)(*)([ *])*#()([ )()()( ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 6
- 12. PHD PLAN PHD started on 1th October 2015 Dynamic model: a similar study about the dynamic power consumption should be executed, in order to derive a dynamic power estimation model. Asses technology impact: different technologies need to be explored, to check whether the proposed model need to be adjusted. Automate the strategy: integration of the proposed parameter analysis and estimation model within the MDC automatic flow. ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 7
- 13. ACKNOWLEDGEMENTS ReConFig2015-Dec7-92015,MayanRiviera(Mexico)–TizianaFanni 8 The research leading to these results has received funding from: the Region of Sardinia L.R.7/2007 under grant agreement CRP-18324 [RPCT Project]. the Region of Sardinia L.R.7/2007 under grant agreement CRP-60544 [ELoRA Project].
- 14. Francesca Palumbo University of Sassari PolComIng Information Engineering Unit Tiziana Fanni, Carlo Sau, Paolo Meloni and Luigi Raffo University of Cagliari Dept. of Electrical and Electronics Eng. tiziana.fanni@unica.it. POWER MODELLING FOR SAVING STRATEGIES IN COARSE GRAINED RECONFIGURABLE SYSTEMS E O L A B ? 2015 International Conference on ReConFigurable Computing and FPGAs
- 15. READ FULL ARTICLE IEEE Xplore Digital Library http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&a rnumber=7393337 RPCT Project Website: http://sites.unica.it/rpct/references/ 14
- 16. REFERENCE @inproceedings{FANNI_Reconfig2016, author = {Tiziana Fanni and Carlo Sau and Paolo Meloni and Luigi Raffo and Francesca Palumbo}, title = {Power modelling for saving strategies in coarse grained reconfigurable systems}, booktitle = {International Conference on ReConFigurable Computing and FPGAs, ReConFig 2015, Riviera Maya, Mexico, December 7-9, 2015}, pages = {1--4}, year = {2015}, doi = {10.1109/ReConFig.2015.7393337}} ReConFig2015-Dec7-9,MayanRiviera(Mexico)-TizianaFanni BibTex