Matt Baughman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Heterogeneous Environments

Scientific Discovery

Top Venues

ScienceCloud@HPDC

IEEE Internet Comput.

Publications

Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR (2024)
Nathaniel Hudson, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Gener. Comput. Syst. 157 (2024)
Rachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC (2024)
André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis. ICPE (Companion) (2024)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR (2023)
Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27 (2) (2023)
Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26 (9) (2023)
Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan
Hierarchical and Decentralised Federated Learning. CoRR (2023)
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC (2023)
Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops (2023)
Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops (2023)
Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer Rana, Ian T. Foster, Kyle Chard
FLoX: Federated Learning with FaaS at the Edge. e-Science (2022)
Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster
Adaptive Edge-Cloud Environments for Rural AI. SCC (2022)
Matt Baughman, Ian T. Foster, Kyle Chard
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science (2022)
Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud (2022)
Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops (2021)
Matt Baughman, Ian T. Foster, Kyle Chard
Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources. e-Science (2021)
Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. HiPS@HPDC (2021)
Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom (2019)
Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. IEEE BigData (2019)
Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard
Deconstructing the 2017 Changes to AWS Spot Market Pricing. ScienceCloud@HPDC (2019)
Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster
Profiling and Predicting Application Performance on the Cloud. UCC (2018)
Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard
Predicting Amazon Spot Prices with LSTM Networks. ScienceCloud@HPDC (2018)