Resumé
| Originalsprog | Engelsk |
|---|---|
| Titel | MobiSys '18 - International Conference on Mobile Systems, Applications and Services |
| Antal sider | 1 |
| Udgivelses sted | Munich, Germany |
| Forlag | Association for Computing Machinery |
| Publikationsdato | 10 jun. 2018 |
| Sider | 540-540 |
| ISBN (Trykt) | 978-1-4503-5720-3 |
| ISBN (Elektronisk) | 9781450357203 |
| DOI | |
| Status | Udgivet - 10 jun. 2018 |
| Begivenhed | 16th ACM International Conference on Mobile Systems, Applications, and Services - Munich, Tyskland Varighed: 10 jun. 2018 → 15 jun. 2018 https://www.sigmobile.org/mobisys/2018/ |
Konference
| Konference | 16th ACM International Conference on Mobile Systems, Applications, and Services |
|---|---|
| Land | Tyskland |
| By | Munich |
| Periode | 10/06/2018 → 15/06/2018 |
| Internetadresse |
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Demo : Distributed Real-Time Generative 3D Hand Tracking using Edge GPGPU Acceleration. / Qammaz, Ammar; Kosta, Sokol; Kyriazis, Nikolaos; Argyros, Antonis.
MobiSys '18 - International Conference on Mobile Systems, Applications and Services. Munich, Germany : Association for Computing Machinery, 2018. s. 540-540.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
TY - GEN
T1 - Demo
T2 - Distributed Real-Time Generative 3D Hand Tracking using Edge GPGPU Acceleration
AU - Qammaz, Ammar
AU - Kosta, Sokol
AU - Kyriazis, Nikolaos
AU - Argyros, Antonis
PY - 2018/6/10
Y1 - 2018/6/10
N2 - This work demonstrates a real-time 3D hand tracking application that runs via computation offloading. The proposed framework enables the application to run on low-end mobile devices such as laptops and tablets, despite the fact that they lack the sufficient hardware to perform the required computations locally. The network connection takes the place of a GPGPU accelerator and sharing resources with a larger workstation becomes the acceleration mechanism. The unique properties of a generative optimizer are examined and constitute a challenging use-case, since the requirement for real-time performance makes it very latency-sensitive.
AB - This work demonstrates a real-time 3D hand tracking application that runs via computation offloading. The proposed framework enables the application to run on low-end mobile devices such as laptops and tablets, despite the fact that they lack the sufficient hardware to perform the required computations locally. The network connection takes the place of a GPGPU accelerator and sharing resources with a larger workstation becomes the acceleration mechanism. The unique properties of a generative optimizer are examined and constitute a challenging use-case, since the requirement for real-time performance makes it very latency-sensitive.
UR - http://www.scopus.com/inward/record.url?scp=85051537655&partnerID=8YFLogxK
U2 - 10.1145/3210240.3211112
DO - 10.1145/3210240.3211112
M3 - Article in proceeding
SN - 978-1-4503-5720-3
SP - 540
EP - 540
BT - MobiSys '18 - International Conference on Mobile Systems, Applications and Services
PB - Association for Computing Machinery
CY - Munich, Germany
ER -