节点文献
面向交叉学科人才培养的高性能计算课程建设
Construction of the High Performance Computing Curriculum for Interdisciplinary Talent Training
【摘要】 随着云计算资源的普及和人工智能发展对算力日益增长的需求,计算模式从串行发展到并行。目前,计算机专业的大学毕业生能够编写并行化程序的寥寥无几,这说明计算机本科培养的课程体系已经落后于经济发展的需要,必须立即做出课程体系的相应调整。为此,本文提出在计算机本科培养方案中增加高性能计算选修课以及为了培养交叉学科创新性人才在工程类通识模块中增加高性能计算通识课的思路,给出课程建设目标和方法以及课程思政内容和实验课开设注意事项。实践证明,选修高性能计算课程的学生有较高的解决大规模复杂计算问题的能力和更宽广的就业选择,能够满足国家经济发展对高性能计算人才的需求。
【Abstract】 With the popularization of cloud computing resources and the growing demand for computing power from the development of artificial intelligence, the computing mode has evolved from serial computing to parallel computing. Currently, very few college graduates majoring in Computer Science and Technology are able to code parallelization programs. This shows that the curriculum system of computer undergraduate training has lagged behind the needs of economic development. Corresponding adjustments to the curriculum system must be made immediately. Therefore, this paper puts forward the idea of adding high performance computing(HPC) elective courses to the computer undergraduate training program, and adding HPC general education courses to cultivate interdisciplinary innovative talents. The objectives and methods of HPC course construction, as well as the ideological and political content and online experiments guidance are proposed. Practice has proved that students who take HPC curriculum have high ability to solve large-scale complex computing problems and broader employment choices, which can meet the needs of national economic development for HPC talents.
【Key words】 Interdisciplinary talent training; High performance computing; Curriculum construction; Curriculum ideological and political training; Online experiments guidance;
- 【文献出处】 中国多媒体与网络教学学报(上旬刊) ,China Journal of Multimedia & Network Teaching , 编辑部邮箱 ,2022年12期
- 【分类号】G642.3;TP38-4
- 【下载频次】5