|
ZhangLingqi 研究業績一覧 (9件)
国際会議発表 (査読有り)
-
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,
June 2023.
-
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,
June 2023.
-
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),
Feb. 2023.
-
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),
May 2021.
国内会議発表 (査読なし・不明)
-
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,
Dec. 2022.
その他の論文・著書など
-
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?,
Oct. 2020.
公式リンク
学位論文
-
Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs,
Thesis,
Doctor (Science),
Tokyo Institute of Technology,
2023/09/22,
-
Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs,
Exam Summary,
Doctor (Science),
Tokyo Institute of Technology,
2023/09/22,
-
Overcoming the Gap Between Compute and Memory Bandwidth in Modern GPUs,
Summary,
Doctor (Science),
Tokyo Institute of Technology,
2023/09/22,
[ BibTeX 形式で保存 ]
[ 論文・著書をCSV形式で保存
]
[ 特許をCSV形式で保存
]
|