数据与计算发展前沿 ›› 2023, Vol. 5 ›› Issue (6): 104-114.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.06.010

doi: 10.11871/jfdc.issn.2096-742X.2023.06.010

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我国生物医学领域高性能计算发展分析与建议

杨晨柳(),方安,王蕾,王茜,钱庆*()   

  1. 中国医学科学院医学信息研究所，北京 100020
  • 收稿日期:2023-06-19 出版日期:2023-12-20 发布日期:2023-12-25
  • 通讯作者: 钱庆（E-mail: qian.qing@imicams.ac.cn）
  • 作者简介:杨晨柳，中国医学科学院医学信息研究所，助理研究员，中国计算机学会（CCF）会员。长期从事医学数字资源长期保存、信息安全体系建设与数据安全保障管理工作。
    本文负责论文初稿撰写。
    Yang Chenliu, assistant researcher at the Institute of Medical Information, Chinese Academy of Medical Sciences CCF member, has long been engaged in the long-term preservation of medical digital resources, information security system construction and data security assurance management. Her main research interests are long-term preservation, information security and data governance.
    Responsible for writing the draft of this paper.
    Email：yang.chenliu@imicams.ac.cn|钱庆，中国医学科学院医学信息研究所，副所长，研究员，国家人口健康科学数据中心工程技术中心主任，兼任中华医学会医学信息学分会主任委员、中华中医药学会中医药信息学分会副主任委员、亚太医师编辑协会副主席。发表论文100余篇，主编并出版专著2本。主要研究方向是科学数据管理、医学知识组织和智能信息处理。
    本文负责制定论文框架，论文修订。
    Qian Qing, Deputy director, researcher, Institute of Medical Information, Chinese Academy of Medical Sciences, Director of the Engineering Technology Center of National Population Health Science Data Center, Chairman of the Medical Informatics Branch of Chinese Medical Association, Vice Chairman of the Chinese Association of Traditional Chinese Medicine Informatics Branch, Vice chairman of the Asia-Pacific Association of Physician Editors. He has published more than 100 papers and edited and published 2 monographs. He has been engaged in medical informatics research for a long time, and his main research directions are scientific data management, medical knowledge organization and intelligent information processing.
    Develop the paper framework and revise the paper.
    Email: qian.qing@imicams.ac.cn
  • 基金资助:
    中国医学科学院医学与健康科技创新工程重大协同创新项目“人口健康科学大数据智能管理与高效利用技术体系建设”(2021-I2M-1-057);2023年NSTL专项任务“医科保存分中心建设”(2023XM18-04)

Development Analysis and Suggestions for High Performance Computing in Biomedical Field in China

YANG Chenliu(),FANG An,WANG Lei,WANG Qian,QIAN Qing*()   

  1. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
  • Received:2023-06-19 Online:2023-12-20 Published:2023-12-25

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摘要：

【目的】 生物医学领域对高性能计算需求突出，结合发展现状和挑战，提出针对性建议。【方法】 从计算基础设施、软件工具资源、人才成果统计、数据安全监管4个方面，调研国内外生物医学领域高性能计算平台建设进展，归纳总结发展特点、存在差距及现实挑战。【结果】 提出推进算网融合发展、鼓励软件研发创新、培养复合型人才、加强标准规范建设等发展建议。【结论】 围绕资源、技术、人员和标准开展高性能计算建设，以期推动生物医学与信息技术的深度融合，支撑新技术的研发、应用与服务。

关键词: 高性能计算, 生物医学, 发展现状, 挑战, 建议

Abstract:

[Objective] The biomedical field has prominent demands for high-performance computing. This paper puts forward specific suggestions based on the development status and challenges. [Methods] From the four aspects of computing infrastructure, software tool resources, talent achievement statistics, and data security supervision, the progress of high-performance computing platform construction in the biomedical field at home and abroad is investigated, and the development characteristics, gaps and practical challenges are summarized. [Results] It puts forward development suggestions for promoting the integrated development of computer and network, encouraging software research and development innovation, cultivating interdisciplinary talents, and strengthening the construction of standards and specifications. [Conclusions] Building high-performance computing around resources, technology, personnel and standards is crucial for promoting the deep integration of biomedical and information technology, and supporting the research and development, application and service of new technologies.

Key words: high performance computing, biomedicine, current situation, challenges, suggestions