Research Computing Infrastructure and Researcher Engagement: Notes from Neuroscience

被引:0
|
作者
Bose, Rajendra [1 ]
Antoniades, Alexander [1 ]
Pellman, John [1 ]
机构
[1] Columbia Univ, Zuckerman Inst, New York, NY 10027 USA
关键词
research computing; scientific computing; research support; GPU;
D O I
10.1145/3311790.3396644
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The advent of the Mortimer B. Zuckerman Mind Brain Behavior Institute (Zuckerman Institute) at Columbia University over a decade ago presented the opportunity to design a discipline-focused Research Computing (RC) group allowing for close collaboration with a relatively fixed number of neuroscience laboratories to enhance discovery. Experiences and observations related to customizing Zuckerman computing infrastructure, creating "task-based" services and systems, and engaging with researchers in our Institute are shared to inform others about establishing discipline-focused research computing teams. Case studies related to providing a GPU cluster service tailored to Institute needs and the evolution of infrastructure choices to hybrid designs allowing bursting to vendor-provided cloud services are reviewed. Future directions involving research software engineering and sharing whole data analysis pipelines are noted.
引用
收藏
页码:139 / 143
页数:5
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