Kirk W. Cameron
Affiliations: | University of South Carolina, Columbia, SC |
Area:
Computer Science, Biostatistics BiologyGoogle:
"Kirk Cameron"Children
Sign in to add traineeDong Li | grad student | (Computer Science Tree) | |
Xizhou Feng | grad student | 2006 | University of South Carolina |
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Publications
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Xu L, Wang Y, Lux T, et al. (2020) Modeling I/O performance variability in high-performance computing systems using mixture distributions Journal of Parallel and Distributed Computing. 139: 87-98 |
Cameron KW, Anwar A, Cheng Y, et al. (2019) MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design Ieee Transactions On Parallel and Distributed Systems. 30: 1843-1856 |
Umar M, Moore SV, Meredith JS, et al. (2017) Aspen-based performance and energy modeling frameworks Journal of Parallel and Distributed Computing. 120: 222-236 |
Li B, Mooring J, Blanchard S, et al. (2017) SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation Journal of Parallel and Distributed Computing. 105: 183-199 |
Su CY, Roberts D, León EA, et al. (2015) HpMC: An energy-aware management system of multi-level memory architectures Acm International Conference Proceeding Series. 5: 167-178 |
Chang HC, Li B, Grove M, et al. (2015) How processor speedups can slow down I/O Performance Proceedings - Ieee Computer Society's Annual International Symposium On Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, Mascots. 2015: 395-404 |
Chang HC, Li B, Back G, et al. (2015) LUC: Limiting the Unintended Consequences of Power Scaling on Parallel Transaction-Oriented Workloads Proceedings - 2015 Ieee 29th International Parallel and Distributed Processing Symposium, Ipdps 2015. 324-333 |
Li B, Chang H, Song S, et al. (2014) Extending PowerPack for Profiling and Analysis of High-Performance Accelerator-Based Systems Parallel Processing Letters. 24: 1442001 |
Cameron K. (2014) The Evolution of Power Measurement Ieee Computer. 47: 78-80 |
Cameron KW. (2014) Energy efficiency in the wild: Why datacenters fear power management Computer. 47: 89-92 |