Runtime System for I/O Staging in Support of In-Situ Processing of Extreme Scale Data
- Georgia Institute of Technology
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.
- Research Organization:
- Georgia Institute of Technology, Atlanta, GA (United States)
- Sponsoring Organization:
- USDOE
- Contributing Organization:
- Georgia Institute of Technology
- DOE Contract Number:
- SC0005505
- OSTI ID:
- 1164268
- Report Number(s):
- 1
- Country of Publication:
- United States
- Language:
- English
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