Ryan D. Friese

According to our database, Ryan D. Friese authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing.

Ryan D. Friese, Roberto Gioiosa, Joseph Cottam, Erdal Mutlu, Gregory Roek, Polykarpos Thomadakis, Mark Raugas

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Automatic Extraction of Network Configurations for Realistic Simulation and Validation.

Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

2023

Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments.

Dylan Machovec, Howard Jay Siegel, James A. Crowder, Sudeep Pasricha, Anthony A. Maciejewski, Ryan D. Friese

J. Supercomput., August, 2023

A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes.

Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Towards Supporting Semiring in MLIR-Based COMET Compiler.

Luanzheng Guo, Rizwan A. Ashraf, Ryan D. Friese, Gokcen Kestor

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2020

Locality-Aware Scheduling for Scalable Heterogeneous Environments.

Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa

Proceedings of the 2020 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers, 2020

Rapid Memory Footprint Access Diagnostics.

Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Effectively Using Remote I/O For Work Composition in Distributed Workflows.

Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Advert: An Asynchronous Runtime for Fine-Grained Network Systems.

Ryan D. Friese, Antonino Tumeo, Roberto Gioiosa, Mark Raugas, Thomas Warfel

Proceedings of the IEEE/ACM Third Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, 2019

Rapidly Measuring Loop Footprints.

Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows.

Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Stochastic Programming Approach for Resource Selection Under Demand Uncertainty.

Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2018

Optimizing Distributed Data-Intensive Workflows.

Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties.

Ryan D. Friese, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017

Generating Performance Models for Irregular Applications.

Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Pushing the Limits of Irregular Access Patterns on Emerging Network Architecture: A Case Study.

Roberto Gioiosa, Thomas Warfel, Antonino Tumeo, Ryan D. Friese

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques.

Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel, Edwin K. P. Chong

IEEE Trans. Parallel Distributed Syst., 2016

HPC node performance and energy modeling with the co-location of applications.

Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel

J. Supercomput., 2016

Efficient Genetic Algorithm Encoding for Large-Scale Multi-objective Resource Allocation.

Ryan D. Friese

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Utility Functions and Resource Management in an Oversubscribed Heterogeneous Computing Environment.

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

IEEE Trans. Computers, 2015

Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system.

Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole

Sustain. Comput. Informatics Syst., 2015

Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems.

Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel

J. Parallel Distributed Comput., 2015

A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing.

Daniel Dauwe, Eric Jonardi, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, David A. Bader, Howard Jay Siegel

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014

Introduction to Special Issue on Energy Aware Resource Management and Scheduling (EARMS).

Ryan D. Friese, Anne Benoit, Howard Jay Siegel

Sustain. Comput. Informatics Syst., 2014

Utility Driven Dynamic Resource Management in an Oversubscribed Energy-Constrained Heterogeneous System.

Bhavesh Khemka, Ryan D. Friese, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Rajendra Rambharos, Steve Poole

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Energy-aware resource management for computing systems.

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

Proceedings of the Seventh International Conference on Contemporary Computing, 2014

2013

An Analysis Framework for Investigating the Trade-Offs between System Performance and Energy Consumption in a Heterogeneous Computing Environment.

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

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems.

Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel

Proceedings of the Recent Advances in Computational Optimization, 2013

Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems.

Kyle M. Tarplee, Ryan D. Friese, Anthony A. Maciejewski, Howard Jay Siegel

Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013