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ORCIDRyan D. Friese
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2020 – today
- 2024
[c21]Joshua Suetterlein, Stephen J. Young, J. esun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger:
Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS 2024: 310-312- 2023
- [j7]Dylan Machovec, Howard Jay Siegel, James A. Crowder, Sudeep Pasricha, Anthony A. Maciejewski, Ryan D. Friese:
Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments. J. Supercomput. 79(12): 13864-13888 (2023) - [c20]Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa
:
A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes. IPDPS Workshops 2023: 6-15 - 2022
- [c19]Luanzheng Guo, Rizwan A. Ashraf, Ryan D. Friese, Gokcen Kestor:
Towards Supporting Semiring in MLIR-Based COMET Compiler. PACT 2022: 542-543 - 2020
- [c18]Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube:
Effectively Using Remote I/O For Work Composition in Distributed Workflows. IEEE BigData 2020: 426-433 - [c17]Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese:
Rapid Memory Footprint Access Diagnostics. ISPASS 2020: 273-284 - [c16]Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa:
Locality-Aware Scheduling for Scalable Heterogeneous Environments. ROSS@SC 2020: 50-58
2010 – 2019
- 2019
- [c15]Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram:
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. IEEE BigData 2019: 383-394 - [c14]Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese:
Rapidly Measuring Loop Footprints. CLUSTER 2019: 1-9 - [c13]Ryan D. Friese, Antonino Tumeo, Roberto Gioiosa, Mark Raugas, Thomas Warfel:
Advert: An Asynchronous Runtime for Fine-Grained Network Systems. IPDRM@SC 2019: 9-17 - 2018
- [c12]Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker:
Optimizing Distributed Data-Intensive Workflows. CLUSTER 2018: 279-289 - [c11]Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent:
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP 2018: 107-126 - 2017
- [c10]Roberto Gioiosa, Thomas Warfel, Antonino Tumeo, Ryan D. Friese:
Pushing the Limits of Irregular Access Patterns on Emerging Network Architecture: A Case Study. CLUSTER 2017: 874-881 - [c9]Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie:
Generating Performance Models for Irregular Applications. IPDPS 2017: 317-326 - [c8]Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre:
Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. JSSPP 2017: 103-121 - 2016
- [j6]Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel:
HPC node performance and energy modeling with the co-location of applications. J. Supercomput. 72(12): 4771-4809 (2016) - [j5]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel, Edwin K. P. Chong:
Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques. IEEE Trans. Parallel Distributed Syst. 27(6): 1633-1646 (2016) - [c7]Ryan D. Friese:
Efficient Genetic Algorithm Encoding for Large-Scale Multi-objective Resource Allocation. IPDPS Workshops 2016: 1360-1369 - 2015
- [j4]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems. J. Parallel Distributed Comput. 84: 76-86 (2015) - [j3]Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole:
Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system. Sustain. Comput. Informatics Syst. 5: 14-30 (2015) - [j2]Bhavesh Khemka, Ryan D. Friese, Luis Diego Briceno, Howard Jay Siegel, Anthony A. Maciejewski, Gregory A. Koenig, Chris Groër, Gene Okonski, Marcia Hilton, Rajendra Rambharos, Steve Poole:
Utility Functions and Resource Management in an Oversubscribed Heterogeneous Computing Environment. IEEE Trans. Computers 64(8): 2394-2407 (2015) - [c6]Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel:
A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing. IPDPS Workshops 2015: 434-443 - 2014
- [j1]Ryan D. Friese, Anne Benoit, Howard Jay Siegel:
Introduction to Special Issue on Energy Aware Resource Management and Scheduling (EARMS). Sustain. Comput. Informatics Syst. 4(4): 203-204 (2014) - [c5]Howard Jay Siegel, Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Gene Okonski, Steve Poole:
Energy-aware resource management for computing systems. IC3 2014: 7-12 - [c4]Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole:
Utility Driven Dynamic Resource Management in an Oversubscribed Energy-Constrained Heterogeneous System. IPDPS Workshops 2014: 58-67 - 2013
- [c3]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems. WCO@FedCSIS 2013: 161-180 - [c2]Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel:
Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems. FedCSIS 2013: 401-408 - [c1]Ryan D. Friese, Bhavesh Khemka, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Jendra Rambharos, Gene Okonski, Stephen W. Poole:
An Analysis Framework for Investigating the Trade-Offs between System Performance and Energy Consumption in a Heterogeneous Computing Environment. IPDPS Workshops 2013: 19-30
Coauthor Index
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