Jee W. Choi

20 papers A 10B 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.
IEEE Trans. Parallel Distributed Syst.
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
2025 B conf
Fast Active-Set Thresholding Method for Nonnegative Least Squares.
IEEE Big Data
Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park
2025 J jnl
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition.
CoRR
Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Yongseok Soh, Jesmin Jahan Tithi, Fabrizio Petrini, Jee W. Choi
2024 B conf
Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures.
ICPP
Yongseok Soh, Ramakrishnan Kannan, Piyush Sao, Jee W. Choi
2024 J jnl
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.
CoRR
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
2023 A conf
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams.
IPDPS
Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2022 J jnl
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures.
CoRR
Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2022 A conf
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures.
ICS
Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2021 A conf
High Performance Streaming Tensor Decomposition.
IPDPS
Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi
2019 — conf
Invited Talk 1.
IPDPS Workshops
Jee W. Choi
2018 A conf
Blocking Optimization Techniques for Sparse Tensor Computation.
IPDPS
Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon
2018 A conf
High-performance dense tucker decomposition on GPU clusters.
SC
Jee W. Choi, Xing Liu, Venkatesan T. Chakaravarthy
2018 A conf
On Optimizing Distributed Tucker Decomposition for Sparse Tensors.
ICS
Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Prakash Murali, Shivmaran S. Pandian, Yogish Sabharwal, Dheeraj Sreedhar
2018 J jnl
On Optimizing Distributed Tucker Decomposition for Sparse Tensors.
CoRR
Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Prakash Murali, Yogish Sabharwal, Shivmaran S. Pandian, Dheeraj Sreedhar
2017 — conf
Data Analytics with NVLink: An SpMV Case Study.
Conf. Computing Frontiers
Daniele Buono, Fausto Artico, Fabio Checconi, Jee W. Choi, Xinyu Que, Lars Schneidenbach
2017 A conf
On Optimizing Distributed Tucker Decomposition for Dense Tensors.
IPDPS
Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Xing Liu, Prakash Murali, Yogish Sabharwal, Dheeraj Sreedhar
2017 J jnl
On Optimizing Distributed Tucker Decomposition for Dense Tensors.
CoRR
Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph, Xing Liu, Prakash Murali, Yogish Sabharwal, Dheeraj Sreedhar
2016 A conf
An Early Performance Study of Large-Scale POWER8 SMP Systems.
IPDPS
Xing Liu, Daniele Buono, Fabio Checconi, Jee W. Choi, Xinyu Que, Fabrizio Petrini, John A. Gunnels, Jeff Stuecheli
2014 A conf
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks.
IPDPS
Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc
2011 A conf
High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach.
SC
Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Jee W. Choi, Bálint Joó, Jatin Chhugani, Michael A. Clark, Pradeep Dubey