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OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-4158-3583
Technical University of Munich, Munich, Germany.
Hewlett Packard Enterprise, Zürich, Switzerland.
SiPearl, Maisons-Laffitte, France.
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2024 (English)In: Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers, Springer Nature , 2024, p. 260-264Conference paper, Published paper (Refereed)
Abstract [en]

OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum. OpenCUBE prioritizes energy awareness and utilizes open APIs, Open Source components, advanced SiPearl Rhea processors, and RISC-V accelerator. The project leverages representative workloads, such as cloud-native workloads and workflows of weather forecast data management, molecular docking, and space weather, for evaluation and validation.

Place, publisher, year, edition, pages
Springer Nature , 2024. p. 260-264
Series
Lecture Notes in Computer Science
Keywords [en]
Computing continuum, Converged HPC and Cloud, EPI, Open-source, RISC-V
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-346145DOI: 10.1007/978-3-031-48803-0_29ISI: 001279248600029Scopus ID: 2-s2.0-85190984237OAI: oai:DiVA.org:kth-346145DiVA, id: diva2:1855930
Conference
International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, Limassol, Cyprus, Aug 28 2023 - Sep 1 2023
Note

Part of proceedings ISBN: 978-303148802-3

QC 20240506

Available from: 2024-05-03 Created: 2024-05-03 Last updated: 2024-09-10Bibliographically approved

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Peng, Ivy BoSchieffer, GabinWahlgren, JacobAraújo De Medeiros, DanielMarkidis, Stefano

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