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Joshua D. Suetterlein · SciRah

Researcher profile · Semantic Scholar

Joshua D. Suetterlein

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Joshua D. Suetterlein — researcher profile on SciRah

h-index: 8
Works: 34
Citations: 268

Most-cited papers

Using a "codelet" program execution model for exascale machines: position paper
Stéphane Zuckerman, Joshua D. Suetterlein, Rob C. Knauerhase, Guang R. Gao
2011EXADAPT '11124 citations
Semantic Scholar
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
K. Ranganath, Joshua D. Suetterlein, Joseph Manzano, S. Song +1 more
2021International Conference for High Performance Computing, Networking, Storage and Analysis19 citations Open access
Semantic Scholar
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
T. Fujimoto, Joshua D. Suetterlein, Samrat Chatterjee, A. Ganguly
2024arXiv.org16 citations
Semantic Scholar
Position Paper: Using a "Codelet" Program Execution Model for Exascale Machines
Stéphane Zuckerman, Joshua D. Suetterlein, Rob C. Knauerhase, Guang R. Gao
201116 citations
Semantic Scholar
Synchronization for CXL Based Memory
Joshua D. Suetterlein, Joseph Manzano, Andrés Márquez
2024International Symposium on Memory Systems12 citations
Semantic Scholar
Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing
Joshua Landwehr, Joshua D. Suetterlein, A. Márquez, Joseph Manzano +1 more
2016Conf. Computing Frontiers12 citations
Semantic Scholar
Darts: A runtime based on the Codelet execution model
Joshua D. Suetterlein
201411 citations
Semantic Scholar
Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime
Joshua D. Suetterlein, Joshua Landwehr, A. Márquez, Joseph Manzano +1 more
2016IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum8 citations
Semantic Scholar
Automatic Locality Exploitation in the Codelet Model
Cheng Chen, Yao Wu, Joshua D. Suetterlein, Long Zheng +2 more
20132013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications8 citations
Semantic Scholar
A Parallel Graph Environment for Real-World Data Analytics Workflows
Vito Giovanni Castellana, M. Drocco, J. Feo, J. Firoz +8 more
2019Design, Automation and Test in Europe6 citations
Semantic Scholar
Extending the Roofline Model for Asynchronous Many-Task Runtimes
Joshua D. Suetterlein, Joshua Landwehr, A. Márquez, Joseph Manzano +1 more
2016IEEE International Conference on Cluster Computing6 citations
Semantic Scholar
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows
Joshua D. Suetterlein, Ryan D. Friese, Nathan R. Tallent, M. Schram
20192019 IEEE International Conference on Big Data (Big Data)5 citations
Semantic Scholar
Designing Scalable Distributed Memory Models: A Case Study
Joshua Landwehr, Joshua D. Suetterlein, Joseph Manzano, A. Márquez +2 more
2017Conf. Computing Frontiers4 citations
Semantic Scholar
Automatic Extraction of Network Configurations for Realistic Simulation and Validation
Joshua D. Suetterlein, Stephen J. Young, J. Firoz, Joseph Manzano +4 more
2024IEEE International Symposium on Performance Analysis of Systems and Software3 citations
Semantic Scholar
Effectively Using Remote I/O For Work Composition in Distributed Workflows
Ryan D. Friese, B. O. Mutlu, Nathan R. Tallent, Joshua D. Suetterlein +1 more
20202020 IEEE International Conference on Big Data (Big Data)3 citations
Semantic Scholar
LC-MEMENTO: A Memory Model for Accelerated Architectures
K. Ranganath, J. Firoz, Joshua D. Suetterlein, Joseph Manzano +3 more
2021International Workshop on Languages and Compilers for Parallel Computing2 citations
Semantic Scholar
A case for asynchronous many task runtimes: a modeling approach for high performance computing and Big Data analytics
Joshua D. Suetterlein
20172 citations
Semantic Scholar
Toward A Unified HPC and Big Data Runtime
Joshua D. Suetterlein, Joshua Landwehr, Joseph Manzano, A. Márquez
20152 citations
Semantic Scholar
HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters
Joshua D. Suetterlein, Stephen J. Young, J. Firoz, Joseph Manzano +4 more
2024IEEE Conference on High Performance Extreme Computing1 citations
Semantic Scholar
Graph Analytics on Jellyfish topology
Md Nahid Newaz, Sayan Ghosh, Joshua D. Suetterlein, Nathan R. Tallent +2 more
2024IEEE International Parallel and Distributed Processing Symposium1 citations
Semantic Scholar
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems
Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, T. Flynn +3 more
2023Energy-Efficient Computing and Networking1 citations Open access
Semantic Scholar
Hardware Evaluation Analytical Modeling and Node Simulation: Benefits of Tighter GPU Integration
B. Austin, R. Bair, K. Barker, A. Cabrera +14 more
20211 citations Open access
Semantic Scholar
On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance
Joshua D. Suetterlein, Joseph Manzano, A. Márquez, Guang R. Gao
2020International Conference on High Performance Computing1 citations
Semantic Scholar
Integrated End-to-end Performance Prediction and Diagnosis for Extreme Scientific Workflows
Nathan R. Tallent, Ryan D. Friese, Joshua D. Suetterlein, J. Strube +16 more
20171 citations Open access
Semantic Scholar
The High Performance Open Community Runtime : Explorations on Asynchronous Many Task Runtime Systems
Joshua Landwehr, Joshua D. Suetterlein, A. Márquez, Joseph Manzano +2 more
20161 citations
Semantic Scholar
Towards An Energy-Efficient Scheduler in the Codelet Model
Chen Chen, Yao Wu, Joshua D. Suetterlein, Long Zheng +1 more
20131 citations
Semantic Scholar
No Atomics, No Problem. Developing a RAG Pipeline for Shared CXL Memory
Alfred Bratterud, Gisle Dankel, Amin Farajianzadeh, John Groves +5 more
2026IEEE transactions on computers0 citations
Semantic Scholar
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection
W. Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua D. Suetterlein +1 more
20252025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)0 citations
Semantic Scholar
Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters
Akhil Alasandagutti, Joshua D. Suetterlein, J. Firoz, Stephen J. Young +5 more
2025IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing0 citations
Semantic Scholar
REBOUND: Reverse Engineering Bidirectional Outflow Under Non-Equilibrium Diffusion
Stephen Young, Mavis Boamah-Agyemang, Ilya Amburg, M. Bowden +7 more
20250 citations Open access
Semantic Scholar
Finding Your Niche: An Evolutionary Approach to HPC Topologies
Stephen J. Young, Joshua D. Suetterlein, J. Firoz, Joseph Manzano +1 more
2023IEEE Conference on High Performance Extreme Computing0 citations
Semantic Scholar
Extending an asynchronous runtime system for high throughput applications: A case study
Joshua D. Suetterlein, Joseph Manzano, A. Márquez, Guangyong Gao
2022J. Parallel Distributed Comput.0 citations Open access
Semantic Scholar
Adaptive Runtime Features for Distributed Graph Algorithms
J. Firoz, Marcin Zalewski, Joshua D. Suetterlein, A. Lumsdaine
2018International Conference on High Performance Computing0 citations
Semantic Scholar
Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes
Joshua D. Suetterlein, Joshua Landwehr, A. Márquez, Joseph Manzano +2 more
2017ESPM2@SC0 citations
Semantic Scholar

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Guang R. Gao×11
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Joshua Landwehr

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