Yuxi Hong

According to our database, Yuxi Hong authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yuxi Hong, Hatem Ltaief, Matteo Ravasi, David E. Keyes

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

Batched sparse direct solver design and evaluation in SuperLU_DIST.

Wajih Boukaram, Yuxi Hong, Yang Liu, Tianyi Shi, Xiaoye S. Li

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

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

Yuxi Hong, Aydin Buluç

Proceedings of the International Conference for High Performance Computing, 2024

Dynamic Optimization for Trade-off in Hyperledger Fabric towards Latency-Sensitive IoT Services.

Hao Ding, Xuefeng Piao, Yuxi Hong, Yizhou Liu, Huihui Song, Meng Liu, Song Gao

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Steering Customized AI Architectures for HPC Scientific Applications.

Hatem Ltaief, Yuxi Hong, Adel Dabah, Rabab Alomairy, Sameh Abdulah, Chris Goreczny, Pawel Gepner, Matteo Ravasi, Damien Gratadour, David E. Keyes

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.

Hatem Ltaief, Yuxi Hong, Leighton Wilson, Mathias Jacquelin, Matteo Ravasi, David Elliot Keyes

Proceedings of the International Conference for High Performance Computing, 2023

2021

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

Yuxi Hong, Hatem Ltaief, Matteo Ravasi, Laurent Gatineau, David E. Keyes

Supercomput. Front. Innov., 2021

LSDDL: Layer-Wise Sparsification for Distributed Deep Learning.

Yuxi Hong, Peng Han

Big Data Res., 2021

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

Hatem Ltaief, Jesse Cranney, Damien Gratadour, Yuxi Hong, Laurent Gatineau, David E. Keyes

Proceedings of the International Conference for High Performance Computing, 2021

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

Yuxi Hong, El Houcine Bergou, Nicolas Doucet, Hao Zhang, Jesse Cranney, Hatem Ltaief, Damien Gratadour, François Rigaut, David E. Keyes

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