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Enabling intermittent computing on high-performance out-of-order processors

Enabling intermittent computing on high-performance out-of-order processors
Enabling intermittent computing on high-performance out-of-order processors
Intermittent computing is a new paradigm enabling battery-less computing devices to be powered directly from energy harvesting, enabling IoT devices that are free from the cost, size and lifetime constraints of batteries. To cope with frequent power interruptions, intermittent computing systems save computational progress before power is lost, and restore it when power returns. Recent research in power-neutral operation of multiprocessor system-on-chips (MPSoCs), where performance scaling is used to instantaneously match power consumption with supply, motivates the need for intermittent computing on high-performance systems. Existing works provide solutions for microcontrollers, but with the increased complexity of high-performance SoCs, new challenges such as hierarchical memory and dependence on large existing libraries emerge. In this paper, we provide a taxonomy of published intermittent computing methods and identify the most suitable method for high-performance SoCs. The chosen method is then implemented and experimentally  validated on an Arm A9 out-of-order application processor. Results show that state can be saved/restored correctly in 8.6 ms for a minimal bare-metal application, which is an order of magnitude faster than the platform’s hardware boot time.
Internet of Things, Intermittent Computing, Battery-less Computing, Power-Neutral Computing
Sliper, Sivert Tvedt
73303db3-fb3d-4434-973b-3def05837e7f
Balsamo, Domenico
fa2dc20a-e3da-4d74-9070-9c61c6a471ba
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Sliper, Sivert Tvedt
73303db3-fb3d-4434-973b-3def05837e7f
Balsamo, Domenico
fa2dc20a-e3da-4d74-9070-9c61c6a471ba
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020

Sliper, Sivert Tvedt, Balsamo, Domenico, Weddell, Alexander and Merrett, Geoff (2018) Enabling intermittent computing on high-performance out-of-order processors. At 6th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (04/11/18) 6th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, Shenzhen, China. 04 Nov 2018. 7 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

Intermittent computing is a new paradigm enabling battery-less computing devices to be powered directly from energy harvesting, enabling IoT devices that are free from the cost, size and lifetime constraints of batteries. To cope with frequent power interruptions, intermittent computing systems save computational progress before power is lost, and restore it when power returns. Recent research in power-neutral operation of multiprocessor system-on-chips (MPSoCs), where performance scaling is used to instantaneously match power consumption with supply, motivates the need for intermittent computing on high-performance systems. Existing works provide solutions for microcontrollers, but with the increased complexity of high-performance SoCs, new challenges such as hierarchical memory and dependence on large existing libraries emerge. In this paper, we provide a taxonomy of published intermittent computing methods and identify the most suitable method for high-performance SoCs. The chosen method is then implemented and experimentally  validated on an Arm A9 out-of-order application processor. Results show that state can be saved/restored correctly in 8.6 ms for a minimal bare-metal application, which is an order of magnitude faster than the platform’s hardware boot time.

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Accepted/In Press date: 14 September 2018
e-pub ahead of print date: 4 November 2018
Venue - Dates: 6th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, Shenzhen, China, 2018-11-04 - 2018-11-04
Keywords: Internet of Things, Intermittent Computing, Battery-less Computing, Power-Neutral Computing

Identifiers

Local EPrints ID: 423565
URI: https://eprints.soton.ac.uk/id/eprint/423565
PURE UUID: d9c6ae7d-6a41-4b96-8a3e-ab9a62ac0f79
ORCID for Sivert Tvedt Sliper: ORCID iD orcid.org/0000-0002-8991-3783
ORCID for Alexander Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 26 Sep 2018 16:30
Last modified: 06 Nov 2018 01:33

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Contributors

Author: Sivert Tvedt Sliper ORCID iD
Author: Domenico Balsamo
Author: Alexander Weddell ORCID iD
Author: Geoff Merrett ORCID iD

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