Ryan D. Friese

Orcid: 0000-0002-4121-2195

According to our database1, Ryan D. Friese authored at least 27 papers between 2013 and 2023.

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Bibliography

2023
Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments.
J. Supercomput., August, 2023

A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Towards Supporting Semiring in MLIR-Based COMET Compiler.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2020
Locality-Aware Scheduling for Scalable Heterogeneous Environments.
Proceedings of the 2020 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers, 2020

Rapid Memory Footprint Access Diagnostics.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Advert: An Asynchronous Runtime for Fine-Grained Network Systems.
Proceedings of the IEEE/ACM Third Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, 2019

Rapidly Measuring Loop Footprints.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2018

Optimizing Distributed Data-Intensive Workflows.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017

Generating Performance Models for Irregular Applications.
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.
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.
IEEE Trans. Parallel Distributed Syst., 2016

HPC node performance and energy modeling with the co-location of applications.
J. Supercomput., 2016

Efficient Genetic Algorithm Encoding for Large-Scale Multi-objective Resource Allocation.
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.
IEEE Trans. Computers, 2015

Utility maximizing dynamic resource management in an oversubscribed energy-constrained heterogeneous computing system.
Sustain. Comput. Informatics Syst., 2015

Scalable linear programming based resource allocation for makespan minimization in heterogeneous computing systems.
J. Parallel Distributed Comput., 2015

A Methodology for Co-Location Aware Application Performance Modeling in Multicore Computing.
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).
Sustain. Comput. Informatics Syst., 2014

Utility Driven Dynamic Resource Management in an Oversubscribed Energy-Constrained Heterogeneous System.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Energy-aware resource management for computing systems.
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.
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.
Proceedings of the Recent Advances in Computational Optimization, 2013

Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013


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