Hellenic Centre for Marine Research, Institute of Marine Biology, Biotechnology and Aquaculture, Former U.S. Base of Gournes, P.O. Box 2214, 71003, Heraklion, Crete, Greece.
Department of Biology, University of Crete, Voutes University Campus, P.O. Box 2208, 70013, Heraklion, Crete, Greece.
Gigascience. 2021 Aug 18;10(8). doi: 10.1093/gigascience/giab053.
High-performance computing (HPC) systems have become indispensable for modern marine research, providing support to an increasing number and diversity of users. Pairing with the impetus offered by high-throughput methods to key areas such as non-model organism studies, their operation continuously evolves to meet the corresponding computational challenges. Here, we present a Tier 2 (regional) HPC facility, operating for over a decade at the Institute of Marine Biology, Biotechnology, and Aquaculture of the Hellenic Centre for Marine Research in Greece. Strategic choices made in design and upgrades aimed to strike a balance between depth (the need for a few high-memory nodes) and breadth (a number of slimmer nodes), as dictated by the idiosyncrasy of the supported research. Qualitative computational requirement analysis of the latter revealed the diversity of marine fields, methods, and approaches adopted to translate data into knowledge. In addition, hardware and software architectures, usage statistics, policy, and user management aspects of the facility are presented. Drawing upon the last decade's experience from the different levels of operation of the Institute of Marine Biology, Biotechnology, and Aquaculture HPC facility, a number of lessons are presented; these have contributed to the facility's future directions in light of emerging distribution technologies (e.g., containers) and Research Infrastructure evolution. In combination with detailed knowledge of the facility usage and its upcoming upgrade, future collaborations in marine research and beyond are envisioned.
高性能计算(HPC)系统已成为现代海洋研究不可或缺的一部分,为越来越多的用户提供支持。与高通量方法为非模式生物研究等关键领域提供的动力相配合,其运行不断发展,以应对相应的计算挑战。在这里,我们展示了一个二级(区域)HPC 设施,该设施在希腊海洋生物学、生物技术和水产养殖研究所已经运行了十多年。在设计和升级过程中做出的战略选择旨在在深度(需要少数高内存节点)和广度(许多更薄的节点)之间取得平衡,这是由所支持的研究的特殊性决定的。对后者的定性计算需求分析揭示了海洋领域采用的多样性、方法和方法,以将数据转化为知识。此外,还介绍了设施的硬件和软件架构、使用统计数据、政策和用户管理方面。借鉴海洋生物学、生物技术和水产养殖 HPC 设施不同运营层面的过去十年经验,提出了一些教训;这些教训为设施在新兴分配技术(例如容器)和研究基础设施发展方面的未来方向做出了贡献。结合对设施使用情况和即将进行的升级的详细了解,未来可以在海洋研究及其他领域开展合作。