Peng Chen
Peng Chen
Tokyo Institute of Technology / National Institute of Advanced Industrial Science and Technology
Verified email at m.titech.ac.jp
Title
Cited by
Cited by
Year
Efficient Algorithms for the Summed Area Tables Primitive on GPUs
Peng Chen , Wahib Mohamed, Takizawa Shinichiro,Takano Ryousei, Matsuoka Satoshi
IEEE International Conference on Cluster Computing (CLUSTER), 2018
22018
A versatile software systolic execution model for GPU memory-bound kernels
Peng Chen , Wahib Mohamed, Takizawa Shinichiro,Takano Ryousei, Matsuoka Satoshi
Proceedings of the International Conference for High Performance Computing c, 2019
12019
A Software Systolic Array on GPUs
Peng Chen , Wahib Mohamed, Takizawa Shinichiro,Takano Ryousei, Ogawa ...
GPU Technology Conference Silicon Vally 2020 (GTC' 20), 2020
2020
High-resolution Image Reconstruction on Supercomputers
Peng Chen, Wahib Mohamed, Takizawa Shinichiro,Takano Ryousei, Ogawa Hirotaka ...
GPU Technology Conference Silicon Vally 2020 (GTC' 20), 2020
2020
iFDK: a scalable framework for instant high-resolution image reconstruction
Peng Chen , Wahib Mohamed, Takizawa Shinichiro,Takano Ryousei, Matsuoka Satoshi
Proceedings of the International Conference for High Performance Computing c, 2019
2019
Can Local Binary Convolutions Make Neural Networks Models Smaller?
H Zhang, M Wahib, P Chen, S Matsuoka
International Conference on Parallel Processing (ICPP' 2019), 2019
2019
Pushing the Limits for 2D Convolution Computation On CUDA-enabled GPUs
P Chen, M Wahib, S Takizawa, S Matsuoka
Technical Report, HPC-163, 2018
2018
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Articles 1–7