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GPU Acceleration in Unikernels Using Cricket GPU Virtualization
Eiling, Niklas (Corresponding author)RWTH* ; Kröning, Martin Werner (Corresponding author)RWTH* ; Klimt, Jonathan Christoph (Corresponding author)RWTH* ; Fensch, Philipp (Corresponding author)RWTH* ; Lankes, Stefan (Corresponding author)RWTH* ; Monti, Antonello (Corresponding author)RWTH*
In
Proceedings of the 2023 SC23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis : (SC23 Workshops) : Nov 12-17, 2023, Denver, CO, Seiten/Artikel-Nr: 1588-1595
2023
Konferenz/Event:13. International Workshop on Runtime and Operating Systems for Supercomputers
, Denver, CO , USA , ROSS 2023 , 2023-11-12 - 2023-11-12
Konferenz/Event:International Conference on High Performance Computing, Network, Storage, and Analysis
, Denver, CO , USA , SC-W 2023 , 2023-11-12 - 2023-11-17
ImpressumNew York, New York, USA : ACM
Umfang1588-1595
ISBN979-8-4007-0785-8
ReiheSC-W '23
Online
DOI: 10.18154/RWTH-2023-10687
DOI: 10.1145/3624062.3624236
10.1145/3624062.3624236
URL: https://publications.rwth-aachen.de/record/973238/files/973238.pdf
Einrichtungen
- Lehrstuhl für Automation of Complex Power Systems (616310)
- E.ON Energy Research Center (080052)
Projekte
- NEMO - Next Generation Meta Operating System (101070118) (101070118)
- IoT-NGIN - Next Generation IoT as part of Next Generation Internet (957246) (957246)
- BMBF 16ME0688 - Verbundprojekt: Optimierung des Datenmanagements und des Kontrollflusses von Rechenknoten für Supercomputing - ScalNEXT - (16ME0688) (16ME0688)
Inhaltliche Beschreibung (Schlagwörter)
CUDA (frei) ; Cloud Computing (frei) ; GPUs (frei) ; Heterogeneous Computing (frei) ; High-Performance Computing (frei) ; RustyHermit (frei) ; Unikernel (frei) ; Unikraft (frei) ; Virtualization (frei)
OpenAccess:
PDF
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85178159168
OpenAlex: W4388581212
Interne Identnummern
RWTH-2023-10687
Datensatz-ID: 973238
Beteiligte Länder
Germany
