DocumentCode
1760023
Title
A Fine-Grain Variation-Aware Dynamic
-Hopping AVFS Architecture on a 32 nm GALS MPSoC
Author
Miro-Panades, Ivan ; Beigne, Edith ; Thonnart, Yvain ; Alacoque, Laurent ; Vivet, Pascal ; Lesecq, Suzanne ; Puschini, Diego ; Molnos, Anca ; Thabet, Farhat ; Tain, Benoit ; Ben Chehida, Karim ; Engels, S. ; Wilson, Richard ; Fuin, D.
Author_Institution
CEA-LETI DACLE, Grenoble, France
Volume
49
Issue
7
fYear
2014
fDate
41821
Firstpage
1475
Lastpage
1486
Abstract
In order to optimize global energy efficiency in the context of dynamic process, voltage and temperature variations in advanced nodes, a fine-grain adaptive voltage and frequency scaling architecture is proposed for multiprocessor systems-on-chip (MPSoC), where each processing element is an independent voltage-frequency island. This architecture has been implemented on a 32 nm globally asynchronous locally-synchronous MPSoC. It shows up to 18.2% energy gains thanks to local adaptability compared with a global dynamic voltage and frequency scaling approach using 25% timing margins between slow and nominal process, by reducing margins to 60 ps of the real process. These gains are obtained for a total area overhead of 10% including local frequency/voltage actuators, sensors, and digital controller.
Keywords
asynchronous circuits; multiprocessing systems; scaling circuits; system-on-chip; GALS MPSoC; advanced nodes; fine-grain adaptive voltage and frequency scaling architecture; fine-grain variation-aware dynamic Vdd-hopping AVFS architecture; global energy efficiency; globally asynchronous locally-synchronous MPSoC; independent voltage-frequency island; multiprocessor systems-on-chip; processing element; size 32 nm; Actuators; Clocks; Hardware; Program processors; Sensors; Timing; Voltage control; Adaptive voltage and frequency scaling (AVFS); chip multiprocessor; energy efficiency; globally asynchronous locally synchronous (GALS);
fLanguage
English
Journal_Title
Solid-State Circuits, IEEE Journal of
Publisher
ieee
ISSN
0018-9200
Type
jour
DOI
10.1109/JSSC.2014.2317137
Filename
6807524
Link To Document