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Ryan Friese
Researcher at Pacific Northwest National Laboratory
Publications - 31
Citations - 313
Ryan Friese is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Symmetric multiprocessor system & Scheduling (computing). The author has an hindex of 10, co-authored 29 publications receiving 291 citations. Previous affiliations of Ryan Friese include Colorado State University.
Papers
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Journal ArticleDOI
Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system
Bhavesh Khemka,Ryan Friese,Sudeep Pasricha,Anthony A. Maciejewski,Howard Jay Siegel,Gregory A. Koenig,Sarah Powers,Marcia Hilton,Rajendra Rambharos,Steve Poole +9 more
TL;DR: Extensive sensitivity analyses of the heuristics in environments with different levels of heterogeneity show that heuristic with the ability to balance both energy consumption and utility exhibit the best performance because they save energy for use by future tasks.
Journal ArticleDOI
Utility Functions and Resource Management in an Oversubscribed Heterogeneous Computing Environment
Bhavesh Khemka,Ryan Friese,Luis Diego Briceno,Howard Jay Siegel,Anthony A. Maciejewski,Gregory A. Koenig,Chris Groër,Gene Okonski,Marcia Hilton,Rajendra Rambharos,Steve Poole +10 more
TL;DR: The results show the benefit of having fast heuristics that account for the importance of a task and the heterogeneity of the environment when making allocation decisions in an oversubscribed environment.
Journal ArticleDOI
Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques
TL;DR: A novel linear programming based resource allocation algorithm is designed for a heterogeneous computing system to efficiently compute high quality solutions for simultaneously minimizing energy and makespan and bound the Pareto front to easily trade-off energy and performance.
Proceedings ArticleDOI
An Analysis Framework for Investigating the Trade-Offs between System Performance and Energy Consumption in a Heterogeneous Computing Environment
Ryan Friese,Bhavesh Khemka,Anthony A. Maciejewski,Howard Jay Siegel,Gregory A. Koenig,Sarah Powers,Marcia Hilton,Jendra Rambharos,Gene Okonski,Stephen W. Poole +9 more
TL;DR: An analysis framework that will allow a system administrator to investigate the tradeoffs between system energy consumption and utility earned by a system (as a measure of system performance), and model these trade-offs as a bi-objective resource allocation problem.
Analyzing the Trade-offs Between Minimizing Makespan and Minimizing Energy Consumption in a Heterogeneous Resource Allocation Problem
TL;DR: This paper develops a method to create different resource allocations that illustrate the trade- offs between minimizing energy consumed and minimizing the makespan of a system.