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arXiv 1807.02875physics.ed-phhep-ex
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HEP软件基金会社区白皮书工作组-培训、人员配备和职业生涯

HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers

HEP Software Foundation, :, Dario Berzano, Riccardo Maria Bianchi, Peter Elmer, Sergei V. Gleyzer John Harvey, Roger Jones, Michel Jouvin, Daniel S. Katz, Sudhi… 展开作者

HEP Software Foundation, :, Dario Berzano, Riccardo Maria Bianchi, Peter Elmer, Sergei V. Gleyzer John Harvey, Roger Jones, Michel Jouvin, Daniel S. Katz, Sudhir Malik, Dario Menasce, Mark Neubauer, Fernanda Psihas, Albert Puig Navarro, Graeme A. Stewart, Christopher Tunnell, Justin A. Vasel, Sean-Jiun Wang

摘要:

HEP中技术的快速发展和算法分析复杂性的并行增加要求开发人员获得更大的编程技能组合。从世界各地大学毕业的年轻研究人员目前没有在现代计算的非常多样化的领域得到充分的准备,以应对最先进的实验挑战日益增长的需求。在HEP社区中,越来越多的共识是需要培训计划,使研究人员能够跟上新的软件技术,特别是在并发编程和人工智能领域。我们审查了一些正在进行的引进新的培训方案的倡议,并强调了一些问题,需要考虑到这些是成功的。

英文摘要:

The rapid evolution of technology and the parallel increasing complexity of algorithmic analysis in HEP requires developers to acquire a much larger portfolio of programming skills. Young researchers graduating from universities worldwide currently do not receive adequate preparation in the very diverse fields of modern computing to respond to growing needs of the most advanced experimental challenges. There is a growing consensus in the HEP community on the need for training programmes to bring researchers up to date with new software technologies, in particular in the domains of concurrent programming and artificial intelligence. We review some of the initiatives under way for introducing new training programmes and highlight some of the issues that need to be taken into account for these to be successful.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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