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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2507.02404 |
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| _version_ | 1866911036421963776 |
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| author | Martinasso, Maxime Klein, Mark Schulthess, Thomas C. |
| author_facet | Martinasso, Maxime Klein, Mark Schulthess, Thomas C. |
| contents | The Swiss National Supercomputing Centre (CSCS) has a long-standing tradition of delivering top-tier high-performance computing systems, exemplified by the Piz Daint supercomputer. However, the increasing diversity of scientific needs has exposed limitations in traditional vertically integrated HPC architectures, which often lack flexibility and composability. To address these challenges, CSCS developed Alps, a next-generation HPC infrastructure designed with a transformative principle: resources operate as independent endpoints within a high-speed network. This architecture enables the creation of independent tenant-specific and platform-specific services, tailored to diverse scientific requirements.
Alps incorporates heterogeneous hardware, including CPUs and GPUs, interconnected by a high-performance Slingshot network, and offers a modular storage system. A key innovation is the versatile software-defined cluster (vCluster) technology, which bridges cloud and HPC paradigms. By abstracting infrastructure, service management, and user environments into distinct layers, vClusters allow for customized platforms that support diverse workloads. Current platforms on Alps serve various scientific domains, including numerical weather prediction, and AI research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02404 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Alps, a versatile research infrastructure Martinasso, Maxime Klein, Mark Schulthess, Thomas C. Distributed, Parallel, and Cluster Computing The Swiss National Supercomputing Centre (CSCS) has a long-standing tradition of delivering top-tier high-performance computing systems, exemplified by the Piz Daint supercomputer. However, the increasing diversity of scientific needs has exposed limitations in traditional vertically integrated HPC architectures, which often lack flexibility and composability. To address these challenges, CSCS developed Alps, a next-generation HPC infrastructure designed with a transformative principle: resources operate as independent endpoints within a high-speed network. This architecture enables the creation of independent tenant-specific and platform-specific services, tailored to diverse scientific requirements. Alps incorporates heterogeneous hardware, including CPUs and GPUs, interconnected by a high-performance Slingshot network, and offers a modular storage system. A key innovation is the versatile software-defined cluster (vCluster) technology, which bridges cloud and HPC paradigms. By abstracting infrastructure, service management, and user environments into distinct layers, vClusters allow for customized platforms that support diverse workloads. Current platforms on Alps serve various scientific domains, including numerical weather prediction, and AI research. |
| title | Alps, a versatile research infrastructure |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2507.02404 |