Jae-Seung Yeom

According to our database, Jae-Seung Yeom authored at least 33 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks.

Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele

CoRR, 2024

Predicting Cross-Architecture Performance of Parallel Programs.

Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems.

Ian Lumsden, Hariharan Devarajan, Jack Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Relative Performance Prediction Using Few-Shot Learning.

Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges.

Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Enabling machine learning-ready HPC ensembles with Merlin.

J. Luc Peterson, Benjamin Bay, Joe Koning, Peter B. Robinson, Jessica Semler, Jeremy White, Rushil Anirudh, Kevin Athey, Peer-Timo Bremer, Francesco Di Natale, David Fox, Jim A. Gaffney, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski, Steve H. Langer, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom

Future Gener. Comput. Syst., 2022

Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows.

Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC.

Daniel J. Milroy, Claudia Misale, Giorgis Georgakoudis, Tonia Elengikal, Abhik Sarkar, Maurizio Drocco, Tapasya Patki, Jae-Seung Yeom, Carlos Eduardo Arango Gutierrez, Dong H. Ahn, Yoonho Park

Proceedings of the 4th IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2022

2021

Towards dynamic simulation of a whole cell model.

Jae-Seung Yeom, Konstantia Georgouli, Robert Blake, Ali Navid

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.

Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom

IEEE Trans. Vis. Comput. Graph., 2020

2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.

J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom

CoRR, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

PADDLE: Performance Analysis Using a Data-Driven Learning Environment.

Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Performance modeling under resource constraints using deep transfer learning.

Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin

Proceedings of the International Conference for High Performance Computing, 2017

Exploratory Modeling and Simulation of the Evolutionary Dynamics of Single-Stranded RNA Virus Populations.

Jae-Seung Yeom, Tanya Kostova-Vassilevska, Peter D. Barnes Jr., David R. Jefferson, Tomas Oppelstrup

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks.

Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kalé, Madhav V. Marathe

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices.

Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev

Proceedings of the 7th International Workshop on Performance Modeling, 2016

LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics.

Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, Abhinav Bhatele

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Charm++ and MPI: Combining the Best of Both Worlds.

Nikhil Jain, Abhinav Bhatele, Jae-Seung Yeom, Mark F. Adams, Francesco Miniati, Chao Mei, Laxmikant V. Kalé

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

Optimizing Data Accesses for Scaling Data-intensive Scientific Applications.

Jae-Seung Yeom

PhD thesis, 2014

Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters.

Jae-Seung Yeom, Abhinav Bhatele, Keith R. Bisset, Eric J. Bohm, Abhishek Gupta, Laxmikant V. Kalé, Madhav V. Marathe, Dimitrios S. Nikolopoulos, Martin Schulz, Lukasz Wesolowski

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages.

Lukasz Wesolowski, Ramprasad Venkataraman, Abhishek Gupta, Jae-Seung Yeom, Keith R. Bisset, Yanhua Sun, Pritish Jetley, Thomas R. Quinn, Laxmikant V. Kalé

Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013

Contagion Diffusion with EpiSimdemics.

Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom, Madhav V. Marathe, Eric J. Bohm, Abhishek Gupta

Proceedings of the Parallel Science and Engineering Applications - The Charm++ Approach., 2013

2012

Simulating the Spread of Infectious Disease over Large Realistic Social Networks Using Charm++.

Keith R. Bisset, Ashwin M. Aji, Eric J. Bohm, Laxmikant V. Kalé, Tariq Kamal, Madhav V. Marathe, Jae-Seung Yeom

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

High-Performance Interaction-Based Simulation of Gut Immunopathologies with ENteric Immunity Simulator (ENISI).

Keith R. Bisset, Md. Maksudul Alam, Josep Bassaganya-Riera, Adria Carbo, Stephen G. Eubank, Raquel Hontecillas, Stefan Hoops, Yongguo Mei, Katherine V. Wendelsdorf, Dawen Xie, Jae-Seung Yeom, Madhav V. Marathe

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011

Poster: large-scale computational epidemiology modeling using charm++.

Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2010

Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories.

Jae-Seung Yeom, Dimitrios S. Nikolopoulos

Proceedings of the Conference on High Performance Computing Networking, 2010

2009

Programming Multiprocessors with Explicitly Managed Memory Hierarchies.

Scott Schneider, Jae-Seung Yeom, Dimitrios S. Nikolopoulos

Computer, 2009

A comparison of programming models for multiprocessors with explicitly managed memory hierarchies.

Scott Schneider, Jae-Seung Yeom, Benjamin Rose, John C. Linford, Adrian Sandu, Dimitrios S. Nikolopoulos

Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009

2008

Scheduling Asymmetric Parallelism on a PlayStation3 Cluster.

Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung Yeom, Scott Schneider, Dimitrios S. Nikolopoulos

Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2007

A Testbed Emulator for Cross-Layer Studies in Mobile Ad Hoc Wireless Networks.

Jae-Seung Yeom, Nawaporn Wisitpongphan, Sooksan Panichpapiboon, Ozan K. Tonguz

Proceedings of the 3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2007

Security in All-Optical Networks: Self-Organization and Attack Avoidance.

Jae-Seung Yeom, Ozan K. Tonguz, Gerardo A. Castañón

Proceedings of IEEE International Conference on Communications, 2007

2006

Security and self-organization in transparent optical networks: an overview.

Jae-Seung Yeom, Ozan K. Tonguz

Proceedings of the 1st International ICST Conference on Access Networks, ACCESSNETS 2006, 2006