Application of Comprehensive Data Analysis for Interactive, Hierarchical Views of HPC Workloads. - Matthew Dwyer 004; John Hwang; Alexander Shires; Jacob Cohen (IEEE BigData, 2018)

Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads. - Matthew Dwyer 004; Nicole Kaff; Jacob Cohen; Michael Frauenhoffer (IEEE BigData, 2019)

Adaptive Monitoring for Analytics Placement in Tactical Networks. - John Corcoran; Eric Graves 001; Bryan Dawson; Matthew Dwyer 004; Paul L. Yu; Kevin Chan 001 (MILCOM, 2022)

Enabling Machine Learning on Resource-constrained Tactical Networks. - Jake B. Perazzone; Matthew Dwyer 004; Kevin S. Chan; Cleon Anderson; Scott E. Brown (MILCOM, 2022)

Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (IEEE Big Data, 2023)

Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (IEEE Big Data, 2023)

Characterizing Distributed Inferencing at the Edge in Resource-Constrained Environments. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (MILCOM, 2023)

Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments. - Olena Tkachenko; Sean Harding; Cleon Anderson; Jake B. Perazzone; Matthew Dwyer 004; Kevin S. Chan (MILCOM, 2023)

The Entrapment Problem in Random Walk Decentralized Learning. - Zonghong Liu; Salim El Rouayheb; Matthew Dwyer 004 (ISIT, 2024)