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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Exploring Power Behaviors and Trade-offs of In-situ Data Analytics.
Abstract not provided.
Data Analytics Exascale Architectures and Computer Science:Tomorrow?s Holy Trinity.
Abstract not provided.
Experimental and Data Analytical Approaches to Automating Multivariate Curve Resolution in the Analysis of Hyperspectral Images.
Abstract not provided.
The Implications of Data Analytics and National Security.
Abstract not provided.
Server-side Log Data Analytics for I/O Workload Characterization and Coordination on Large Shared Storage Systems
Inter-application I/O contention and performance interference have been recognized as severe problems. In this work, we demonstrate, through measurement from Titan (world s No. 3 supercomputer), that high I/O variance co-exists with the fact that individual storage units remain under-utilized for the majority of the time. This motivates us to propose AID, a system that performs automatic application I/O characterization and I/O-aware job scheduling. AID analyzes existing I/O traffic and batch job history logs, without any prior knowledge on applications or user/developer involvement. It identifies the small set of I/O-intensive candidates among all applications running on a supercomputer and subsequently mines their I/O patterns, using more detailed per-I/O-node traffic logs. Based on such auto- extracted information, AID provides online I/O-aware scheduling recommendations to steer I/O-intensive applications away from heavy ongoing I/O activities. We evaluate AID on Titan, using both real applications (with extracted I/O patterns validated by contacting users) and our own pseudo-applications. Our results confirm that AID is able to (1) identify I/O-intensive applications and their detailed I/O characteristics, and (2) significantly reduce these applications I/O performance degradation/variance by jointly evaluating out- standing applications I/O pattern and real-time system l/O load.
Application of Data Analytics to Additive Manufacturing
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Embracing Diversity: OS Support for Integrating High-Performance Computing and Data Analytics.
Abstract not provided.
Large-Scale Data Analytics and Its Relationship to Simulation.
Abstract not provided.
Exascale Data Analytics for the DOE
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Large-Scale Data Analytics and Its Relationship to Simulation.
Abstract not provided.
Canopus: Enabling Extreme-Scale Data Analytics on Big {HPC} Storage via Progressive Refactoring
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