Joshua Suetterlein

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Automatic Extraction

Top Venues

Conf. Computing Frontiers

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)
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance. CoRR (2024)
Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Hua Ming
Graph Analytics on Jellyfish topology. IPDPS (2024)
Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC (2023)
Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
Extending an asynchronous runtime system for high throughput applications: A case study. J. Parallel Distributed Comput. 163 (2022)
Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong
LC-MEMENTO: A Memory Model for Accelerated Architectures. LCPC (2021)
Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance. HiPC (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)
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)
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
A Parallel Graph Environment for Real-World Data Analytics Workflows. DATE (2019)
Jesun Sahariar Firoz, Marcin Zalewski, Joshua Suetterlein, Andrew Lumsdaine
Adaptive Runtime Features for Distributed Graph Algorithms. HiPC (2018)
Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrès Márquez, Kevin J. Barker, Guang R. Gao
Designing Scalable Distributed Memory Models: A Case Study. Conf. Computing Frontiers (2017)
Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao
Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. ESPM2@SC (2017)
Joshua Landwehr, Joshua Suetterlein, Andres Marquez, Joseph B. Manzano, Guang R. Gao
Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing. Conf. Computing Frontiers (2016)
Joshua Suetterlein, Joshua Landwehr, Andrès Márquez, Joseph B. Manzano, Guang R. Gao
Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime. IPDPS Workshops (2016)
Joshua Suetterlein, Stéphane Zuckerman, Guang R. Gao
An Implementation of the Codelet Model. Euro-Par (2013)
Chen Chen, Yao Wu, Joshua Suetterlein, Long Zheng, Minyi Guo, Guang R. Gao
Automatic Locality Exploitation in the Codelet Model. TrustCom/ISPA/IUCC (2013)