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基于华为鲲鹏处理器的计算课程教学环境构建

Teaching Environment for Computing Courses Based on Huawei Kunpeng Processor
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摘要 为响应国家掌握核心技术,加快推进国产自主可控替代的号召,上海交通大学在国内高校中率先建设基于华为鲲鹏处理器的高性能计算平台,面向校内广泛的科学计算用户和师生提供服务。平台采用华为鲲鹏920处理器所建设,通过与π2.0超算平台配置相同的SLURM作业调度系统和共享统一的Lustre并行文件系统,确保用户的一致性体验。通过Spack编译部署和Singularity镜像部署两种软件管理方式,丰富了平台的科学计算软件列表,对常用的科学计算软件LAMMPS、GATK等进行测试,证明了平台的可用性和性能指标优越。同时,基于平台构建了计算课程教学支撑环境,可支撑线上线下混合式教学和大规模虚拟仿真实验教学。平台的建设为兄弟高校建设和使用ARM超算积累了经验,通过教学支撑的实践提升了教学质量,为学生的学习和发展提供了更好的条件和机会。 In response to the call of the country to master core technologies and accelerate the promotion of domestically produced autonomous and controllable substitution,we provide a teaching environment for domestically produced computing courses to teachers and students on cam⁃pus.Shanghai Jiao Tong University is the first among domestic universities to build a high-performance computing platform based on the Hua⁃wei Kunpeng processor,providing services to a wide range of scientific computing users and teachers and students on campus.The platform is built using the Huawei Kunpeng 920 processor,and is configured with the same SLURM job scheduling system and a shared unified Lustre parallel file system as theπ2.0 supercomputing platform to ensure a consistent user experience.By using two software management methods,Spark compilation deployment and Singularity image deployment,the platform's list of scientific computing software has been enriched.Com⁃mon scientific computing software such as LAMMPS and GATK have been tested,proving the platform's superior availability and performance indicators.At the same time,a computing course teaching support environment has been constructed based on the platform,which can support mixed online and offline teaching and large-scale virtual simulation experimental teaching.The construction of the platform has accumulated experience for the construction and use of ARM supercomputing in brother universities,improved teaching quality through practical teaching support,and provided better conditions and opportunities for students'learning and development.
作者 张战炳 于潇雪 高亦沁 周芸 周衍晓 林新华 ZHANG Zhanbing;YU Xiaoxue;GAO Yiqin;ZHOU Yun;ZHOU Yanxiao;LIN Xinhua(Network and Information Center,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Kinglot Co.,Ltd.,Shanghai 200070,China)
出处 《软件导刊》 2023年第12期154-160,共7页 Software Guide
基金 上海市经信委城市数字化转型专项(202201026)。
关键词 高性能计算 华为鲲鹏 ARM架构 性能测试 课程教学 high performance computing Huawei Kunpeng ARM architecture performance testing course teaching
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