Ryan D. Friese

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Demand Uncertainty

Unmanned Aerial Vehicles

Resource Selection

Heterogeneous Environments

Top Venues

Publications

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)
Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa
A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes. IPDPS Workshops (2023)
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) (2023)
Luanzheng Guo, Rizwan A. Ashraf, Ryan D. Friese, Gokcen Kestor
Towards Supporting Semiring in MLIR-Based COMET Compiler. PACT (2022)
Alok V. Kamatar, Ryan D. Friese, Roberto Gioiosa
Locality-Aware Scheduling for Scalable Heterogeneous Environments. ROSS@SC (2020)
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
Rapid Memory Footprint Access Diagnostics. ISPASS (2020)
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)
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
Rapidly Measuring Loop Footprints. CLUSTER (2019)
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)
Ryan D. Friese, Antonino Tumeo, Roberto Gioiosa, Mark Raugas, Thomas Warfel
Advert: An Asynchronous Runtime for Fine-Grained Network Systems. IPDRM@SC (2019)
Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
Optimizing Distributed Data-Intensive Workflows. CLUSTER (2018)
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)
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)
Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
Generating Performance Models for Irregular Applications. IPDPS (2017)
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)