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Big Data Research, Volume 8

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Volume 8, July 2017

Tutorials on Tools and Methods using High Performance Computing resources for Big Data

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Drew Schmidt, Wei-Chen Chen, Michael A. Matheson, George Ostrouchov:
Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes. 1-11
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Guangchen Ruan, Hui Zhang:
Closed-loop Big Data Analysis with Visualization and Scalable Computing. 12-26
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Ziliang Zong, Rong Ge, Qijun Gu:
Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics. 27-38
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Iman I. Yusuf, Ian E. Thomas, Maria Spichkova, Heinz W. Schmidt:
Chiminey: Connecting Scientists to HPC, Cloud and Big Data. 39-49
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Alcides Fonseca, Bruno Cabral:
Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis. 50-56
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Lucas A. Wilson:
Using the Launcher for Executing High Throughput Workloads. 57-64

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