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陳鵬 研究業績一覧 (15件)
国際会議発表 (査読有り)
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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.
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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.
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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.
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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.
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Peng Chen,
Mohamed Wahib,
Shinichiro Takizawa,
Ryousei Takano,
Satoshi Matsuoka.
A versatile software systolic execution model for GPU memory-bound kernels,
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Nov. 2019.
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Peng Chen,
Mohamed Wahib,
Shinichiro Takizawa,
Ryousei Takano,
Satoshi Matsuoka.
iFDK: a scalable framework for instant high-resolution image reconstruction,
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Nov. 2019.
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Peng Chen,
Mohamed Wahib,
Shinichiro Takizawa,
Ryousei Takano,
SATOSHI MATSUOKA.
Efficient Algorithms for the Summed Area Tables Primitive on GPUs,
IEEE Cluster 2018,
Sept. 2018.
公式リンク
国際会議発表 (査読なし・不明)
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Peng Chen,
Mohamed Wahib,
Shinichiro Takizawa,
Ryousei Takano,
Satoshi Matsuoka..
High resolution Image Reconstruction on Supercomputer,
GPU Technology Conference Silicon Vally 2020 (GTC' 20),
Mar. 2020.
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Peng Chen,
Mohamed Wahib,
Shinichiro Takizawa,
Ryousei Takano,
Hirotaka Ogawa,
Satoshi Matsuoka.
A Software Systolic Array on GPUs,
GPU Technology Conference Silicon Vally 2020 (GTC' 20),
Mar. 2020.
国内会議発表 (査読なし・不明)
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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.
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Chen Peng,
Wahib Mohamed,
Takizawa Shinichiro,
Matsuoka Satoshi.
Pushing the Limits for 2D Convolution Computation On CUDA-enabled GPUs,
第163回ハイパフォーマンスコンピューティング研究発表会,
Mar. 2018.
公式リンク
その他の論文・著書など
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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
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A Virtual Systolic Array on GPUs,
Summary,
Doctor (Academic),
Tokyo Institute of Technology,
2020/03/26,
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A Virtual Systolic Array on GPUs,
Thesis,
Doctor (Academic),
Tokyo Institute of Technology,
2020/03/26,
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A Virtual Systolic Array on GPUs,
Exam Summary,
Doctor (Academic),
Tokyo Institute of Technology,
2020/03/26,
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