Ryan D. Friese

32 papers A 1B 3C 6Journal 8Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
Comparing Distributed-Memory Programming Frameworks with Radix Sort.
SC Workshops
Michael P. Ferguson, Ryan D. Friese, Shreyas Khandekar, Matt Drozt
2025 J jnl
MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language.
J. Open Source Softw.
Dustin F. Kapraun, Todd J. Zurlinden, Ryan D. Friese, Andrew J. Shapiro
2024 B conf
Automatic Extraction of Network Configurations for Realistic Simulation and Validation.
ISPASS
Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024 — conf
HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters.
HPEC
Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Nathan R. Tallent, Ryan D. Friese, Kevin J. Barker, Timothy Stavenger
2024 — conf
Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing.
SC Workshops
Ryan D. Friese, Roberto Gioiosa, Joseph Cottam, Erdal Mutlu, Gregory Roek, Polykarpos Thomadakis, Mark Raugas
2023 — conf
A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes.
IPDPS Workshops
Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa
2023 J jnl
Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments.
J. Supercomput.
Dylan Machovec, Howard Jay Siegel, James A. Crowder, Sudeep Pasricha, Anthony A. Maciejewski, Ryan D. Friese
2022 B conf
Towards Supporting Semiring in MLIR-Based COMET Compiler.
PACT
Luanzheng Guo, Rizwan A. Ashraf, Ryan D. Friese, Gokcen Kestor
2020 — conf
Effectively Using Remote I/O For Work Composition in Distributed Workflows.
IEEE BigData
Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube
2020 — conf
Locality-Aware Scheduling for Scalable Heterogeneous Environments.
ROSS@SC
Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa
2020 B conf
Rapid Memory Footprint Access Diagnostics.
ISPASS
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2019 — conf
Advert: An Asynchronous Runtime for Fine-Grained Network Systems.
IPDRM@SC
Ryan D. Friese, Antonino Tumeo, Roberto Gioiosa, Mark Raugas, Thomas Warfel
2019 C conf
Rapidly Measuring Loop Footprints.
CLUSTER
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2019 — conf
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows.
IEEE BigData
Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram
2018 C conf
Optimizing Distributed Data-Intensive Workflows.
CLUSTER
Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
2018 C conf
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty.
JSSPP
Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent
2017 A conf
Generating Performance Models for Irregular Applications.
IPDPS
Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
2017 C conf
Pushing the Limits of Irregular Access Patterns on Emerging Network Architecture: A Case Study.
CLUSTER
Roberto Gioiosa, Thomas Warfel, Antonino Tumeo, Ryan D. Friese
2017 C conf
Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties.
JSSPP
Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre
2016 — conf
Efficient Genetic Algorithm Encoding for Large-Scale Multi-objective Resource Allocation.
IPDPS Workshops
Ryan D. Friese
2016 J jnl
Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques.
IEEE Trans. Parallel Distributed Syst.
Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel, Edwin K. P. Chong
2016 J jnl
HPC node performance and energy modeling with the co-location of applications.
J. Supercomput.
Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel
2015 — conf
A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing.
IPDPS Workshops
Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel
2015 J jnl
Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems.
J. Parallel Distributed Comput.
Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel
2015 J jnl
Utility Functions and Resource Management in an Oversubscribed Heterogeneous Computing Environment.
IEEE Trans. Computers
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
2015 J jnl
Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system.
Sustain. Comput. Informatics Syst.
Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole
2014 — conf
Energy-aware resource management for computing systems.
IC3
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
2014 J jnl
Introduction to Special Issue on Energy Aware Resource Management and Scheduling (EARMS).
Sustain. Comput. Informatics Syst.
Ryan D. Friese, Anne Benoit, Howard Jay Siegel
2014 — conf
Utility Driven Dynamic Resource Management in an Oversubscribed Energy-Constrained Heterogeneous System.
IPDPS Workshops
Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole
2013 — conf
An Analysis Framework for Investigating the Trade-Offs between System Performance and Energy Consumption in a Heterogeneous Computing Environment.
IPDPS Workshops
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
2013 C conf
Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems.
FedCSIS
Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel
2013 — conf
Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems.
WCO@FedCSIS
Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel