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2020 – today
- 2024
[c26]Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele:
Relative Performance Prediction Using Few-Shot Learning. COMPSAC 2024: 1764-1769- [c25]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: 543-553 - [c24]Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele:
Predicting Cross-Architecture Performance of Parallel Programs. IPDPS 2024: 570-581 - [i4]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 abs/2401.08124 (2024) - 2023
- [c23]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: 2077-2088 - 2022
- [j3]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: 255-268 (2022) - [c22]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: 57-70 - [c21]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: 421-422 - 2021
- [c20]Jae-Seung Yeom, Konstantia Georgouli, Robert Blake, Ali Navid:
Towards dynamic simulation of a whole cell model. BCB 2021: 82:1-82:10 - 2020
- [j2]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): 291-300 (2020)
2010 – 2019
- 2019
- [c19]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: 1-10 - [i3]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 abs/1907.08325 (2019) - [i2]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 abs/1910.02270 (2019) - [i1]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 abs/1912.02892 (2019) - 2018
- [c18]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: 784-793 - 2017
- [c17]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: 689-694 - [c16]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: 263-272 - [c15]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: 31 - 2016
- [c14]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: 1132-1141 - [c13]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: 32-42 - 2015
- [c12]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: 655-664 - 2014
- [b1]Jae-Seung Yeom:
Optimizing Data Accesses for Scaling Data-intensive Scientific Applications. Virginia Tech, Blacksburg, VA, USA, 2014 - [c11]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: 211-220 - [c10]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: 755-764 - 2013
- [p1]Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom, Madhav V. Marathe, Eric J. Bohm, Abhishek Gupta:
Contagion Diffusion with EpiSimdemics. Parallel Science and Engineering Applications 2013: 211-246 - 2012
- [c9]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: 48-59 - [c8]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: 507-518 - 2011
- [c7]Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom:
Poster: large-scale computational epidemiology modeling using charm++. SC Companion 2011: 77-78 - 2010
- [c6]Jae-Seung Yeom, Dimitrios S. Nikolopoulos:
Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories. SC 2010: 1-11
2000 – 2009
- 2009
- [j1]Scott Schneider, Jae-Seung Yeom, Dimitrios S. Nikolopoulos:
Programming Multiprocessors with Explicitly Managed Memory Hierarchies. Computer 42(11): 28-34 (2009) - [c5]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: 131-140 - 2008
- [c4]Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung Yeom, Scott Schneider, Dimitrios S. Nikolopoulos:
Scheduling Asymmetric Parallelism on a PlayStation3 Cluster. CCGRID 2008: 146-153 - 2007
- [c3]Jae-Seung Yeom, Ozan K. Tonguz, Gerardo A. Castañón:
Security in All-Optical Networks: Self-Organization and Attack Avoidance. ICC 2007: 1329-1335 - [c2]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: 1-10 - 2006
- [c1]Jae-Seung Yeom, Ozan K. Tonguz:
Security and self-organization in transparent optical networks: an overview. AccessNets 2006: 13
Coauthor Index
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