|
|
|
|
LEADER |
01341 am a22001933u 4500 |
001 |
371787 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Balsamo, Domenico
|e author
|
700 |
1 |
0 |
|a Weddell, Alex
|e author
|
700 |
1 |
0 |
|a Merrett, Geoff V.
|e author
|
700 |
1 |
0 |
|a Al-Hashimi, Bashir M.
|e author
|
700 |
1 |
0 |
|a Brunelli, Davide
|e author
|
700 |
1 |
0 |
|a Benini, Luca
|e author
|
245 |
0 |
0 |
|a Hibernus: sustaining computation during intermittent supply for energy-harvesting systems
|
260 |
|
|
|c 2015-03.
|
856 |
|
|
|z Get fulltext
|u https://eprints.soton.ac.uk/371787/1/hibernus.pdf
|
520 |
|
|
|a A key challenge to the future of energy-harvesting systems is the discontinuous power supply that is often generated. We propose a new approach, Hibernus, which enables computation to be sustained during intermittent supply. The approach has a low energy and time overhead which is achieved by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers. We validate the approach experimentally on a processor with FRAM nonvolatile memory, allowing it to reactively hibernate using only energy stored in its decoupling capacitance. When compared to a recently proposed technique, the approach reduces processor time and energy overheads by 76-100% and 49-79% respectively.
|
540 |
|
|
|a accepted_manuscript
|
655 |
7 |
|
|a Article
|