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
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
32019
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 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