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GPU Acceleration in Unikernels Using Cricket GPU Virtualization

; ; ; ; ;

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

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

URL: https://publications.rwth-aachen.de/record/973238/files/973238.pdf

Einrichtungen

  1. Lehrstuhl für Automation of Complex Power Systems (616310)
  2. E.ON Energy Research Center (080052)

Projekte

  1. NEMO - Next Generation Meta Operating System (101070118) (101070118)
  2. IoT-NGIN - Next Generation IoT as part of Next Generation Internet (957246) (957246)
  3. 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:
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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

 GO


Creative Commons Attribution CC BY 4.0 ; OpenAccess

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080052
616310

 Record created 2023-11-14, last modified 2026-08-31


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