Jee W. Choi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Auxiliary Information

Tensor Decomposition

Top Venues

Conf. Computing Frontiers

Publications

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 (2024)
Yongseok Soh, Ramakrishnan Kannan, Piyush Sao, Jee W. Choi
Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures. ICPP (2024)
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)
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 (2022)
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)
Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi
High Performance Streaming Tensor Decomposition. IPDPS (2021)
Jee W. Choi
Invited Talk 1. IPDPS Workshops (2019)
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)
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 (2018)
Jee W. Choi, Xing Liu, Venkatesan T. Chakaravarthy
High-performance dense tucker decomposition on GPU clusters. SC (2018)
Jee W. Choi, Xing Liu, Shaden Smith, Tyler A. Simon
Blocking Optimization Techniques for Sparse Tensor Computation. IPDPS (2018)
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)
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)
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 (2017)
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)
Jee W. Choi, Marat Dukhan, Xing Liu, Richard W. Vuduc
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks. IPDPS (2014)
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)