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JuPyLive: Seamless Migration of Jupyter Notebook Resources from Laptop to HPC — arXiv:2609.03562

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.03562
License (as archived): CC0-1.0
Archived: 2026-10-17T01:47:28.487Z
SHA-256 of the archived text: 6aeeee0998416c91060656b98067ee1741ceda872a5cb8dfd06f4165cb67ce5a
Stable URL of this page: https://metraipolis.com/documento/dc_0891cbbeea09

How to cite

JuPyLive: Seamless Migration of Jupyter Notebook Resources from Laptop to HPC — arXiv:2609.03562 — arXiv (en), https://arxiv.org/abs/2609.03562 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_0891cbbeea09 (Metraipolis archive dc_0891cbbeea09, sha256 6aeeee0998416c91060656b98067ee1741ceda872a5cb8dfd06f4165cb67ce5a)

BibTeX

@misc{dc0891cbbeea09,
  title = {JuPyLive: Seamless Migration of Jupyter Notebook Resources from Laptop to HPC — arXiv:2609.03562},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.03562},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_0891cbbeea09; sha256 6aeeee0998416c91060656b98067ee1741ceda872a5cb8dfd06f4165cb67ce5a},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.03562. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This work introduces JuPyLive, a migration mechanism that enables seamless transition of Jupyter notebooks between local resources of user's workstation and remote resources of high-performance computing~(HPC) environments, while preserving the user experience. JuPyLive eliminates the underlying complexities of migration process, enabling users to freely choose among available local and remote resources, directly within the familiar Jupyter notebook environment via a single click. JuPyLive leverages ElasticNotebook to manage in-memory state migration, it automates resource allocation on HPC cluster and orchestrates required remote communication channels between the source and destination to enable a bidirectional migration. Furthermore, HPC status monitor of JuPyLive provides a live overview of available remote resources, allowing users to make informed decisions on choosing the relevant resources before initiating a migration process. The proposed fully automatic mechanism requires no code changes or configurations by the end user, nor does it demand users to learn a new syntax, instead the migration process can be intuitively initiated and monitored using visual elements from within the Jupyter notebook. By bridging the gap between local workspace and remote resources, JuPyLive offers a seamless experience for scaling local resource-intensive workflows with minimal user intervention, thus further democratizing the usage of HPC clusters among the interdisciplinary researchers.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-09-04 in cs.DC).
Categorie arXiv: Distributed, Parallel, and Cluster Computing (cs.DC).
Pagina del lavoro: https://arxiv.org/abs/2609.03562 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T01:12:01.338Z dalla pagina https://arxiv.org/catchup/cs.DC/2026-09-04?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).