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Co-designing HPC-systems by computing capabilities and management flexibility to accommodate bioinformatic workflows at different complexity levelsстатья
- Авторы: Suplatov Dmitry, Shegay Maxim, Sharapova Yana, Timokhin Ivan, Popova Nina, Voevodin Vladimir, Švedas Vytas
- Журнал: Journal of Supercomputing
- Год издания: 2021
- Издательство: Springer Nature
- Местоположение издательства: Switzerland
- DOI: 10.1007/s11227-021-03691-x
- Аннотация: The field of biology is producing data faster than ever before. To approach its analysis efficiently, one can take advantage of a systematic symbiosis between the power of huge distributed-memory systems and the flexibility of locally managed shared-memory servers. Here, we introduce the concept of a “small and smart” High Performance Computing resource as an intermediary between a personal computer and a supercomputer to accommodate complex tasks in biology. Such a supplementary server, specifically designed and configured for a particular purpose, can facilitate efficient and convenient data processing by maximizing shared-memory multi-tasking/threading on CPU/GPU. It seems most reasonable to consider it as a beacon for further co-development of the increasingly common “medium-hard” algorithms/pipelines in life sciences and hardware for shared-memory parallelism. This leaves supercomputers with specifically developed highly parallel implementations of the most resource-demanding operations, to ensure optimal performance amid efficient utilization of expensive infrastructure.
- Добавил в систему: Суплатов Дмитрий Андреевич