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

来源：

PRACTICE AND EXPERIENCE IN ADVANCED RESEARCH COMPUTING 2020, PEARC 2020 | 2020年

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

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页码：139 / 143

页数：5

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