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Issue No.05 - May (2013 vol.46)
pp: 84-92
A. F. Szczepanski , Univ. of Tennessee, Knoxville, TN, USA
Jian Huang , Univ. of Tennessee, Knoxville, TN, USA
T. Baer , Univ. of Tennessee, Knoxville, TN, USA
Y. C. Mack , Univ. of Tennessee, Knoxville, TN, USA
S. Ahern , Univ. of Tennessee, Knoxville, TN, USA
Because data analysis and visualization jobs are highly diverse in terms of their size-measured by core count, memory use, and requisite software-sophisticated, high-performance monitoring tools are needed to improve user support and facilitate resource allocation.
resource allocation, data analysis, data visualisation, monitoring, parallel processing, data analysis, resource allocation, high performance monitoring tools, high performance computing, data visualization, Memory management, Data visualization, Software development, Data analysis, Monitoring, analysis, high-performance computing, HPC, management, measurement, visualization
A. F. Szczepanski, Jian Huang, T. Baer, Y. C. Mack, S. Ahern, "Data Analysis and Visualization in High-Performance Computing", Computer, vol.46, no. 5, pp. 84-92, May 2013, doi:10.1109/MC.2012.192
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2. D. Hart, "Deep and Wide Metrics for HPC Resource Capability and Project Usage," Proc. Supercomputing 11 (SC 11), ACM, 2011, article no. 1; doi:10.1145/2063348.2063350.
3. R.L. Moore et al., "Trestles: A High-Productivity HPC System Targeted to Modest-Scale and Gateway Users," Proc. Tera-Grid Conf.: Extreme Digital Discovery, ACM, 2011, article no. 25; doi:10.1145/201674.2016768.
4. H. Wickham, ggplot2: Elegant Graphics for Data Analysis, Springer, 2009.
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