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Jee W. Choi
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2020 – today
- 2024
- [c13]Yongseok Soh
, Ramakrishnan Kannan
Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures. ICPP 2024: 107-116 - [i4]Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. CoRR abs/2403.06348 (2024) - 2023
- [c12]Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. IPDPS 2023: 402-412 - 2022
- [c11]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures. ICS 2022: 26:1-26:13 - [i3]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures. CoRR abs/2201.12523 (2022) - 2021
- [c10]Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi:
High Performance Streaming Tensor Decomposition. IPDPS 2021: 683-692
2010 – 2019
- 2019
- [c9]Jee W. Choi:
Invited Talk 1. IPDPS Workshops 2019: 391 - 2018
- [c8]Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Prakash Murali, Shivmaran S. Pandian, Yogish Sabharwal, Dheeraj Sreedhar:
On Optimizing Distributed Tucker Decomposition for Sparse Tensors. ICS 2018: 374-384 - [c7]Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon:
Blocking Optimization Techniques for Sparse Tensor Computation. IPDPS 2018: 568-577 - [c6]Jee W. Choi, Xing Liu, Venkatesan T. Chakaravarthy:
High-performance dense tucker decomposition on GPU clusters. SC 2018: 42:1-42:11 - [i2]Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Prakash Murali, Yogish Sabharwal, Shivmaran S. Pandian, Dheeraj Sreedhar:
On Optimizing Distributed Tucker Decomposition for Sparse Tensors. CoRR abs/1804.09494 (2018) - 2017
- [c5]Daniele Buono, Fausto Artico, Fabio Checconi, Jee W. Choi, Xinyu Que, Lars Schneidenbach:
Data Analytics with NVLink: An SpMV Case Study. Conf. Computing Frontiers 2017: 89-96 - [c4]Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Xing Liu, Prakash Murali, Yogish Sabharwal, Dheeraj Sreedhar:
On Optimizing Distributed Tucker Decomposition for Dense Tensors. IPDPS 2017: 1038-1047 - [i1]Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Xing Liu, Prakash Murali, Yogish Sabharwal, Dheeraj Sreedhar:
On Optimizing Distributed Tucker Decomposition for Dense Tensors. CoRR abs/1707.05594 (2017) - 2016
- [c3]Xing Liu, Daniele Buono, Fabio Checconi, Jee W. Choi, Xinyu Que, Fabrizio Petrini, John A. Gunnels, Jeff Stuecheli:
An Early Performance Study of Large-Scale POWER8 SMP Systems. IPDPS 2016: 263-272 - 2014
- [c2]Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks. IPDPS 2014: 447-457 - 2011
- [c1]Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Jee W. Choi, Bálint Joó, Jatin Chhugani, Michael A. Clark, Pradeep Dubey:
High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach. SC 2011: 69:1-69:11
Coauthor Index
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