Jae-Seung Yeom

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Topics

Resource Constraints

Machine Learning

Sparse Matrices

Top Venues

IPDPS Workshops

Publications

Ian Lumsden, Hariharan Devarajan, Jack Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer
Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. IPDPS (Workshops) (2024)
Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele
A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. CoRR (2024)
Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele
Predicting Cross-Architecture Performance of Parallel Programs. IPDPS (2024)
Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland
Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. SC Workshops (2023)
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
One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. CANOPIE-HPC@SC (2022)
Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. e-Science (2022)
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
Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 131 (2022)
Jae-Seung Yeom, Konstantia Georgouli, Robert Blake, Ali Navid
Towards dynamic simulation of a whole cell model. BCB (2021)
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
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CoRR (2019)
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
Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR (2019)
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
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CLUSTER (2019)
Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. CoRR (2019)
Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin
PADDLE: Performance Analysis Using a Data-Driven Learning Environment. IPDPS (2018)
Jae-Seung Yeom, Tanya Kostova-Vassilevska, Peter D. Barnes Jr., David R. Jefferson, Tomas Oppelstrup
Exploratory Modeling and Simulation of the Evolutionary Dynamics of Single-Stranded RNA Virus Populations. IPDPS Workshops (2017)
Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin
Performance modeling under resource constraints using deep transfer learning. SC (2017)
Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kalé, Madhav V. Marathe
Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. CCGrid (2017)
Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, Abhinav Bhatele
LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics. IPDPS Workshops (2016)
Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev
Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. PMBS@SC (2016)
Nikhil Jain, Abhinav Bhatele, Jae-Seung Yeom, Mark F. Adams, Francesco Miniati, Chao Mei, Laxmikant V. Kalé
Charm++ and MPI: Combining the Best of Both Worlds. IPDPS (2015)
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
Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. IPDPS (2014)
Lukasz Wesolowski, Ramprasad Venkataraman, Abhishek Gupta, Jae-Seung Yeom, Keith R. Bisset, Yanhua Sun, Pritish Jetley, Thomas R. Quinn, Laxmikant V. Kalé
TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages. ICPP (2014)
Keith R. Bisset, Ashwin M. Aji, Eric J. Bohm, Laxmikant V. Kalé, Tariq Kamal, Madhav V. Marathe, Jae-Seung Yeom
Simulating the Spread of Infectious Disease over Large Realistic Social Networks Using Charm++. IPDPS Workshops (2012)
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
High-Performance Interaction-Based Simulation of Gut Immunopathologies with ENteric Immunity Simulator (ENISI). IPDPS (2012)
Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom
Poster: large-scale computational epidemiology modeling using charm++. SC Companion (2011)
Jae-Seung Yeom, Dimitrios S. Nikolopoulos
Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories. SC (2010)
Scott Schneider, Jae-Seung Yeom, Dimitrios S. Nikolopoulos
Programming Multiprocessors with Explicitly Managed Memory Hierarchies. Computer 42 (11) (2009)
Scott Schneider, Jae-Seung Yeom, Benjamin Rose, John C. Linford, Adrian Sandu, Dimitrios S. Nikolopoulos
A comparison of programming models for multiprocessors with explicitly managed memory hierarchies. PPOPP (2009)
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung Yeom, Scott Schneider, Dimitrios S. Nikolopoulos
Scheduling Asymmetric Parallelism on a PlayStation3 Cluster. CCGRID (2008)
Jae-Seung Yeom, Nawaporn Wisitpongphan, Sooksan Panichpapiboon, Ozan K. Tonguz
A Testbed Emulator for Cross-Layer Studies in Mobile Ad Hoc Wireless Networks. TRIDENTCOM (2007)
Jae-Seung Yeom, Ozan K. Tonguz, Gerardo A. Castañón
Security in All-Optical Networks: Self-Organization and Attack Avoidance. ICC (2007)
Jae-Seung Yeom, Ozan K. Tonguz
Security and self-organization in transparent optical networks: an overview. AccessNets (2006)