Educating HPC Users in the use of advanced computing technology
Educating HPC Users in the use of advanced computing technology
复制标题
教育 HPC 用户使用先进的计算技术
DOI:
10.1109/eduhpc54835.2021.00008
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Harrison, Robert J.
中科院分区:
文献类型:
--
作者:
Siegmann, Eva;Calder, Alan;Feldman, Catherine;Harrison, Robert J.
We examine a multi-modal approach to educating and training users of an advanced computing technology testbed at the Institute for Advanced Computational Science at Stony Brook University. Ookami [1] provides researchers worldwide with access to 176 Fujitsu A64FX compute nodes, this being the same processor technology powering the Japanese Fugaku supercomputer, the fastest computer in the world since June 2020. However, achieving high-performance on this Arm-based, leadership computing technology requires that users be familiar with details of computer architecture, performance analysis and modeling, and high-performance programming models that are commonly omitted in introductory programming courses. Indeed, regardless of their seniority, many of the testbed users are surprisingly unfamiliar with basic concepts such as vectorization, pipelining, latency/bandwidth, roofline models, computing energy/power, threads, and non-uniform memory access. These same concepts also pervade mainstream x86 technologies, so this is of widespread concern. Due to the national/global nature of our user community that is also very diverse in both discipline and experience, the inability to offer formal classes, and our experience that most people do not tend to read online documentation or training materials in sufficient depth, we have consciously employed multiple approaches that heavily emphasize (online) personal interactions and transfer of skills. Online documentation has been organized around best-practices and FAQs; twice-weekly hackathons and office hours via Zoom enable deep dives by both the team and the user community with multiple broad benefits; a Slack channel provides both real time and archived answers and discussions; and workshops, training and webinars target community needs as they arise. The perspective that these tools are being used in an educational setting rather than just for project communication makes them more effective and contributes to community success.
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DOI:
10.1109/pmbs49563.2019.00006
发表时间:
2019
期刊:
2019 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)
影响因子:
--
作者:
Jan Laukemann;Julian Hammer;G. Hager;G. Wellein
通讯作者:
G. Wellein
影响因子:
2.1
作者:
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通讯作者:
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DOI:
10.1145/3437359.3465592
发表时间:
2021
期刊:
PEARC '21: Practice and Experience in Advanced Research Computing
影响因子:
--
作者:
Michalowicz, Benjamin;Raut, Eric;Kang, Yan;Curtis, Tony;Chapman, Barbara;Oryspayev, Dossay
通讯作者:
Oryspayev, Dossay
影响因子:
1.6
作者:
P. Tzeferacos;M. Fatenejad;N. Flocke;C. Graziani;G. Gregori;D. Lamb;Dongwoo Lee;J. Meinecke;A. Scopatz;K. Weide
通讯作者:
K. Weide
DOI:
--
发表时间:
2000
期刊:
Comput. Sci. Eng.
影响因子:
--
作者:
R. Rosner;A. Calder;J. Dursi;B. Fryxell;D. Lamb;J. Niemeyer;K. Olson;P. Ricker;F. Timmes;J. Truran;H. Tufo;Y. Young;M. Zingale;E. Lusk;R. Stevens
通讯作者:
R. Stevens