Runtime System for I/O Staging in Support of In-Situ Processing of Extreme Scale Data

Schwan, Karsten¹ 

[1] Georgia Institute of Technology

关键词: Petascale;    online analytics;    insitu analytics;   

DOI  :  10.2172/1164268
RP-ID  :  1
PID  :  OSTI ID: 1164268

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

Our research in this project focused on creating and evaluating an I/O infrastructure and tools for extreme-scale applications and machines so that scientists can reduce their time to discovery at small cost in machine resources and consequent power consumption. We wanted to provide tools that are highly scalable, portable, and easy-to-use, so that scientists can gain control of their science, and concentrate on producing important scientific discovery in their own domain. Accelerating the rate of insight and scientific productivity, therefore, demands new solutions to managing the avalanche of data expected at extreme scale.