HPC-as-a-Service via HEAppE Platform

Svaton, Vaclav; Martinovič, Jan; Křenek, Jan; Esch, Thomas; Tomančák, Pavel

doi:10.1007/978-3-030-22354-0_26

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Further details on LEXIS and the systems discussed above are published in a series of conference contributions and book chapters (e.g. [5,[27][28][29]). Open software and documents developed in the project will be disseminated via GitHub, Zenodo (dedicated sections: [30,31]) and the official EU project web pages [32].…”

Section: Discussionmentioning

confidence: 99%

“…[3]), programming is not necessary to specify workflows, as a convenient web UI with template components is provided -Alien4Cloud (Application LIfecycle ENablement for Cloud, [4]). The actual authentication and job submission bridge for HPC systems in this context is provided by the "HEAppE" middleware from IT4I (High-End Application Execution Middleware, [5,6]). With this setup, the LEXIS Orchestration System can not only execute jobs on the OpenStack IaaS-Cloud infrastructures of IT4I and LRZ, but also utilise arbitrary HPC-system accounts to execute jobs on existing HPC computing time grants on behalf of the user.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach

Hachinger¹,

Martinovič²,

Terzo³

et al. 2021

Proceedings of International Symposium on Grids &Amp; Clouds 2021 — PoS(ISGC2021)

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The LEXIS project (Large-scale EXecution for Industry & Society, H2020 GA825532) provides a platform for optimised execution of Cloud-HPC workflows, reducing computation time and increasing energy efficiency. The system will rely on advanced, distributed orchestration solutions (Atos YSTIA Suite, with Alien4Cloud and Yorc, based on TOSCA), the High-End Application Execution Middleware HEAppE, and new hardware capabilities for maximising efficiency in data processing, analysis and transfer (e.g. Burst Buffers with GPU-and FPGA-based data reprocessing). LEXIS handles computation tasks and data from three Pilots, based on representative and demanding HPC/Cloud-Computing use cases in Industry (SMEs) and Science: i) Simulations of complex turbomachinery and gearbox systems in Aeronautics, ii) Tsunami simulations and earthquake loss assessments which are time-constrained to enable immediate warnings and to support well-informed decisions, and iii) Weather and Climate simulations where massive amounts of in-situ data are assimilated to improve forecasts. A user-friendly LEXIS web portal, as a unique entry point, will provide access to data as well as workflow-handling and remote visualisation functionality. As part of its back-end, LEXIS builds an elaborate system for the handling of input, intermediate and result data. At its core, a Distributed Data Infrastructure (DDI) ensures the availability of LEXIS data at all participating HPC sites, which will be federated with a common LEXIS Authentication and Authorisation Infrastructure (with unified security model, user database and policies). The DDI leverages best of breed data-management solutions from EUDAT, such as B2SAFE (based on iRODS) and B2HANDLE. REST APIs on top of it will ensure a smooth interaction with LEXIS workflows and the orchestration layer. Last, but not least, the DDI will provide functionalities for Research Data Management following the FAIR principles ("Findable, Interoperable, Accessible, Reusable"), e.g. DOI acquisition, which helps to publish and disseminate open data products.

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Section: Discussionmentioning

confidence: 99%