The Community for Technology Leaders
RSS Icon
Subscribe
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
ABSTRACT
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.
INDEX TERMS
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
CITATION
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
REFERENCES
1. E.W. Bethel et al., "Visualization at Supercomputing Centers: The Tale of Little Big Iron and the Three Skinny Guys," IEEE Computer Graphics and Applications, Jan./Feb. 2011, pp. 90-95.
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.
47 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool