| Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system B Khemka, R Friese, S Pasricha, AA Maciejewski, HJ Siegel, GA Koenig, ... Sustainable Computing: Informatics and Systems 5, 14-30, 2015 | 61 | 2015 |
| Utility functions and resource management in an oversubscribed heterogeneous computing environment B Khemka, R Friese, LD Briceno, HJ Siegel, AA Maciejewski, GA Koenig, ... IEEE Transactions on Computers 64 (8), 2394-2407, 2014 | 57 | 2014 |
| Energy and makespan tradeoffs in heterogeneous computing systems using efficient linear programming techniques KM Tarplee, R Friese, AA Maciejewski, HJ Siegel, EKP Chong IEEE Transactions on parallel and distributed systems 27 (6), 1633-1646, 2015 | 56 | 2015 |
| Analyzing the trade-offs between minimizing makespan and minimizing energy consumption in a heterogeneous resource allocation problem R Friese, T Brinks, C Oliver, HJ Siegel, AA Maciejewski INFOCOMP, The Second International Conference on Advanced Communications and …, 2012 | 43 | 2012 |
| An analysis framework for investigating the trade-offs between system performance and energy consumption in a heterogeneous computing environment R Friese, B Khemka, AA Maciejewski, HJ Siegel, GA Koenig, S Powers, ... 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 36 | 2013 |
| A methodology for co-location aware application performance modeling in multicore computing D Dauwe, E Jonardi, R Friese, S Pasricha, AA Maciejewski, DA Bader, ... 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 23 | 2015 |
| HPC node performance and energy modeling with the co-location of applications D Dauwe, E Jonardi, RD Friese, S Pasricha, AA Maciejewski, DA Bader, ... The Journal of Supercomputing 72, 4771-4809, 2016 | 22 | 2016 |
| Generating performance models for irregular applications RD Friese, NR Tallent, A Vishnu, DJ Kerbyson, A Hoisie 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 20 | 2017 |
| A machine-by-machine analysis of a bi-objective resource allocation problem R Friese, T Brinks, C Oliver, AA Maciejewski, HJ Siegel, S Pasricha Proceedings of the International Conference on Parallel and Distributed …, 2013 | 18 | 2013 |
| Efficient genetic algorithm encoding for large-scale multi-objective resource allocation RD Friese 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 17 | 2016 |
| Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems KM Tarplee, R Friese, AA Maciejewski, HJ Siegel Journal of Parallel and Distributed Computing 84, 76-86, 2015 | 16 | 2015 |
| Efficient and scalable pareto front generation for energy and makespan in heterogeneous computing systems KM Tarplee, R Friese, AA Maciejewski, HJ Siegel Recent Advances in Computational Optimization: Results of the Workshop on …, 2015 | 15 | 2015 |
| Modeling the effects on power and performance from memory interference of co-located applications in multicore systems D Dauwe, R Friese, S Pasricha, AA Maciejewski, GA Koenig, HJ Siegel Proceedings of the International Conference on Parallel and Distributed …, 2014 | 13 | 2014 |
| Utility driven dynamic resource management in an oversubscribed energy-constrained heterogeneous system B Khemka, R Friese, S Pasricha, AA Maciejewski, HJ Siegel, GA Koenig, ... 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 12 | 2014 |
| Towards efficient resource allocation for distributed workflows under demand uncertainties RD Friese, M Halappanavar, AV Sathanur, M Schram, DJ Kerbyson, ... Workshop on Job Scheduling Strategies for Parallel Processing, 103-121, 2017 | 10 | 2017 |
| Efficient and scalable computation of the energy and makespan pareto front for heterogeneous computing systems KM Tarplee, R Friese, AA Maciejewski, HJ Siegel 2013 Federated Conference on Computer Science and Information Systems, 401-408, 2013 | 9 | 2013 |
| TAZeR: Hiding the cost of remote I/O in distributed scientific workflows J Suetterlein, RD Friese, NR Tallent, M Schram 2019 IEEE International Conference on Big Data (Big Data), 383-394, 2019 | 6 | 2019 |
| Energy-aware resource management for computing systems HJ Siegel, B Khemka, R Friese, S Pasricha, AA Maciejewski, GA Koenig, ... 2014 Seventh International Conference on Contemporary Computing (IC3), 7-12, 2014 | 6 | 2014 |
| Rapid memory footprint access diagnostics OO Kilic, NR Tallent, RD Friese 2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020 | 5 | 2020 |
| Bi-objective study for the assignment of unmanned aerial vehicles to targets RD Friese, JA Crowder, HJ Siegel, JN Carbone 20th International Conference on Artificial Intelligence (ICAI’18), 207-213, 2018 | 5 | 2018 |
H.J. SiegelEmail verificata su ColoState.edu
