Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation Article Swipe
Jorge Marx Gómez
,
Saavan Patel
,
Syed Shakib Sarwar
,
Li, Ziyun
,
Raffaele Capoccia
,
Wang, Zhao
,
Reid Pinkham
,
Andrew Berkovich
,
Tzung‐Jiun Tsai
,
B. De Salvo
,
Chiao Liu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.07474
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.07474
Augmented Reality/Virtual Reality (AR/VR) glasses are widely foreseen as the next generation computing platform. AR/VR glasses are a complex "system of systems" which must satisfy stringent form factor, computing-, power- and thermal- requirements. In this paper, we will show that a novel distributed on-sensor compute architecture, coupled with new semiconductor technologies (such as dense 3D-IC interconnects and Spin-Transfer Torque Magneto Random Access Memory, STT-MRAM) and, most importantly, a full hardware-software co-optimization are the solutions to achieve attractive and socially acceptable AR/VR glasses. To this end, we developed a semi-analytical simulation framework to estimate the power consumption of novel AR/VR distributed on-sensor computing architectures. The model allows the optimization of the main technological features of the system modules, as well as the computer-vision algorithm partition strategy across the distributed compute architecture. We show that, in the case of the compute-intensive machine learning based Hand Tracking algorithm, the distributed on-sensor compute architecture can reduce the system power consumption compared to a centralized system, with the additional benefits in terms of latency and privacy.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2203.07474
- https://arxiv.org/pdf/2203.07474
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221146357
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4221146357Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2203.07474Digital Object Identifier
- Title
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Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power EstimationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-14Full publication date if available
- Authors
-
Jorge Marx Gómez, Saavan Patel, Syed Shakib Sarwar, Li, Ziyun, Raffaele Capoccia, Wang, Zhao, Reid Pinkham, Andrew Berkovich, Tzung‐Jiun Tsai, B. De Salvo, Chiao LiuList of authors in order
- Landing page
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https://arxiv.org/abs/2203.07474Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2203.07474Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2203.07474Direct OA link when available
- Concepts
-
Computer science, Virtual reality, Augmented reality, Distributed computing, Virtual machine, Embedded system, Real-time computing, Artificial intelligence, Operating systemTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.architecture, | 45 |
| abstract_inverted_index.architecture. | 129 |
| abstract_inverted_index.interconnects | 55 |
| abstract_inverted_index.requirements. | 32 |
| abstract_inverted_index.semiconductor | 49 |
| abstract_inverted_index.technological | 111 |
| abstract_inverted_index.architectures. | 102 |
| abstract_inverted_index.Reality/Virtual | 1 |
| abstract_inverted_index.co-optimization | 70 |
| abstract_inverted_index.computer-vision | 121 |
| abstract_inverted_index.semi-analytical | 88 |
| abstract_inverted_index.compute-intensive | 138 |
| abstract_inverted_index.hardware-software | 69 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile |