Joshua Suetterlein

21 papers A 2B 1Misc 2Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
No Atomics, No Problem. Developing a RAG Pipeline for Shared CXL Memory.
IEEE Trans. Computers
Alfred Bratterud, Gisle Dankel, Amin Farajianzadeh, John Groves, Chengyi Juan, Joshua Suetterlein, Andrés Márquez, Petter Gustad, Arnt Emil Ingulstad
2025 J jnl
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection.
CoRR
William Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua Suetterlein, Joseph B. Manzano
2024 J jnl
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance.
CoRR
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly
2024 B conf
Automatic Extraction of Network Configurations for Realistic Simulation and Validation.
ISPASS
Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024 A conf
Graph Analytics on Jellyfish topology.
IPDPS
Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Ming Hua
2024 — conf
HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters.
HPEC
Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Nathan R. Tallent, Ryan D. Friese, Kevin J. Barker, Timothy Stavenger
2024 — conf
Synchronization for CXL Based Memory.
MEMSYS
Joshua Suetterlein, Joseph B. Manzano, Andres Marquez
2023 — conf
Finding Your Niche: An Evolutionary Approach to HPC Topologies.
HPEC
Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
2022 J jnl
Extending an asynchronous runtime system for high throughput applications: A case study.
J. Parallel Distributed Comput.
Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
2021 — conf
LC-MEMENTO: A Memory Model for Accelerated Architectures.
LCPC
Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong
2020 — conf
Effectively Using Remote I/O For Work Composition in Distributed Workflows.
IEEE BigData
Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube
2020 Misc conf
On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance.
HiPC
Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
2019 A conf
A Parallel Graph Environment for Real-World Data Analytics Workflows.
DATE
Vito Giovanni Castellana, Maurizio Drocco, John Feo, Jesun Sahariar Firoz, Thejaka Amila Kanewala, Andrew Lumsdaine, Joseph B. Manzano, Andres Marquez, Marco Minutoli, Joshua Suetterlein, Antonino Tumeo, Marcin Zalewski
2019 — conf
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows.
IEEE BigData
Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram
2018 Misc conf
Adaptive Runtime Features for Distributed Graph Algorithms.
HiPC
Jesun Sahariar Firoz, Marcin Zalewski, Joshua Suetterlein, Andrew Lumsdaine
2017 — conf
Designing Scalable Distributed Memory Models: A Case Study.
Conf. Computing Frontiers
Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrés Márquez, Kevin J. Barker, Guang R. Gao
2017 — conf
Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes.
ESPM2@SC
Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao
2016 — conf
Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing.
Conf. Computing Frontiers
Joshua Landwehr, Joshua Suetterlein, Andres Marquez, Joseph B. Manzano, Guang R. Gao
2016 — conf
Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime.
IPDPS Workshops
Joshua Suetterlein, Joshua Landwehr, Andrés Márquez, Joseph B. Manzano, Guang R. Gao
2013 — conf
An Implementation of the Codelet Model.
Euro-Par
Joshua Suetterlein, Stéphane Zuckerman, Guang R. Gao
2013 — conf
Automatic Locality Exploitation in the Codelet Model.
TrustCom/ISPA/IUCC
Chen Chen, Yao Wu, Joshua Suetterlein, Long Zheng, Minyi Guo, Guang R. Gao