Lingqi Zhang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Memory Capacity

High Performance Computing

Scientific Computing

Top Venues

Publications

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. ICS (2023)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. CoRR (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS (2023)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR (2022)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR (2022)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. CoRR (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. IPDPS (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR (2020)