Lingqi Zhang - RankMe

21 papers A 7B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	FRUGAL: Pushing GPU Applications beyond Memory Limits. CGO Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
2025	B	`conf`	A General and Scalable GCN Training Framework on CPU Supercomputers. PPoPP Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	—	`conf`	Can Tensor Cores Benefit Memory-Bound Kernels? (NO!). GPGPU@PPoPP Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025	J	`jnl`	Can Tensor Cores Benefit Memory-Bound Kernels? (No!). CoRR Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025	J	`jnl`	SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication. CoRR Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	A	`conf`	Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers. ICS Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	—	`conf`	Investigating Nvidia GPU Architecture Trends via Microbenchmarks. CLUSTER Workshops Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2023	J	`jnl`	At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2023	—	`conf`	Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	J	`jnl`	Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	A	`conf`	PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	A	`conf`	Revisiting Temporal Blocking Stencil Optimizations. ICS Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	J	`jnl`	Revisiting Temporal Blocking Stencil Optimizations. CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2022	J	`jnl`	At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2022	J	`jnl`	Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
2021	A	`conf`	Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2020	A	`conf`	A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. IPDPS Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
2020	J	`jnl`	A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. CoRR Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
2020	J	`jnl`	Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2020	J	`jnl`	Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2020	A	`conf`	Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka