Lingqi Zhang

According to our database, Lingqi Zhang authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication.

Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

FRUGAL: Pushing GPU Applications beyond Memory Limits.

Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2025

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication.

Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

CoRR, December, 2025

A General and Scalable GCN Training Framework on CPU Supercomputers.

Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers.

Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

Can Tensor Cores Benefit Memory-Bound Kernels? (NO!).

Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 17th Workshop on General Purpose Processing Using GPU, 2025

2024

Investigating Nvidia GPU Architecture Trends via Microbenchmarks.

Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

ACM Trans. Archit. Code Optim., December, 2023

Revisiting Temporal Blocking Stencil Optimizations.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 15th Workshop on General Purpose Processing Using GPU, 2023

2022

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

CoRR, 2022

Persistent Kernels for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka

CoRR, 2022

2021

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?

Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Scaling distributed deep learning workloads beyond the memory capacity with KARMA.

Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2020

A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.

Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020