Yuxi Hong

Orcid: 0000-0002-0741-6602

Affiliations:

Indiana University, Bloomington, IN, USA
Lawrence Berkeley National Laboratory, Berkeley, CA, USA (2023 - 2025)
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

According to our database¹, Yuxi Hong authored at least 11 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

PyLops-MPI - MPI Powered PyLops with mpi4py.

[BibT_eX]

[DOI]

Rohan Babbar

Matteo Ravasi

Yuxi Hong

J. Open Source Softw., January, 2025

Caracal: A GPU-Resident Sparse LU Solver with Lightweight Fine-Grained Scheduling.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2025

2024

High performance computing seismic redatuming by inversion with algebraic compression and multiple precisions.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2024

Batched sparse direct solver design and evaluation in SuperLU_DIST.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2024

A Sparsity-Aware Distributed-Memory Algorithm for Sparse-Sparse Matrix Multiplication.

[BibT_eX]

[DOI]

Yuxi Hong

Aydin Buluç

Proceedings of the International Conference for High Performance Computing, 2024

2023

Steering Customized AI Architectures for HPC Scientific Applications.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing - 38th International Conference, 2023

Scaling the "Memory Wall" for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2023

2021

Accelerating Seismic Redatuming Using Tile Low-Rank Approximations on NEC SX-Aurora TSUBASA.

[BibT_eX]

[DOI]

Supercomput. Front. Innov., 2021

LSDDL: Layer-Wise Sparsification for Distributed Deep Learning.

[BibT_eX]

[DOI]

Yuxi Hong

Peng Han

Big Data Res., 2021

Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

Yuxi Hong

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Bibliography

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