"Lingqi Zhang","Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs",,,,,,,2023,Sept.
"Lingqi Zhang","Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs",,,,,,,2023,Sept.
"Lingqi Zhang","Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs",,,,,,,2023,Sept.
"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","ACM International Conference on Supercomputing (ICS 2023)","proceedings of ACM International Conference on Supercomputing (ICS 2023)",,,,"pp. 167-179",2023,June
"Lingqi Zhang,Mohamed Wahib,Peng Chen,Jintao Meng,Xiao Wang,Toshio Endo,Satoshi Matsuoka","Revisiting Temporal Blocking Stencil Optimizations","ACM International Conference on Supercomputing (ICS 2023)","proceedings of ACM International Conference on Supercomputing (ICS 2023)",,,,"pp. 251-263",2023,June
"Lingqi Zhang,Mohamed Wahib,Peng Chen,Jintao Meng,Xiao Wang,Toshio Endo,Satoshi Matsuoka","Exploiting Scratchpad Memory for Deep Temporal Blocking","the 15th Workshop on General Purpose Processing Using GPU (GPGPU 2023)","proceedings of the 15th Workshop on General Purpose Processing Using GPU (GPGPU 2023)",,,,,2023,Feb.
"Lingqi Zhang,Mohamed Wahib,Peng Chen,Jintao Meng,Xiao Wang,Toshio Endo,Satoshi Matsuoka","Breaking the Memory Bottleneck for Iterative Memory-bound Applications Via Persistent Kernels",,"IPSJ SIG Technical Report","IPSJ","Vol. 2022-HPC-187","No. 18",,2022,Dec.
"Jens Domke,Emil Vatai,Alexsandr 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?","International Parallel and Distributed Processing Symposium (IPDPS 2021)",,,,,,2021,May
"Jens Domke,Emil Vatai,Alexsandr 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?",,,,,,,2020,Oct.