Peng Chen

According to our database, Peng Chen authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.

Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang

IEEE Trans. Evol. Comput., June, 2024

Adaptive Patching for High-resolution Image Segmentation with Transformers.

Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib

Proceedings of the International Conference for High Performance Computing, 2024

Real-time High-resolution X-Ray Computed Tomography.

Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Communication Optimization for Distributed GCN Training on ABCI Supercomputer.

Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the IEEE International Conference on Cluster Computing, 2024

Investigating Nvidia GPU Architecture Trends via Microbenchmarks.

Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the IEEE International Conference on Cluster Computing, 2024

Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage.

Du Wu, Peng Chen, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

ACM Trans. Archit. Code Optim., December, 2023

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.

Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong

IEEE Trans. Parallel Distributed Syst., October, 2023

Ultra-Long Sequence Distributed Transformer.

Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley

CoRR, 2023

Revisiting Temporal Blocking Stencil Optimizations.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 15th Workshop on General Purpose Processing Using GPU, 2023

2022

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.

Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng

IEEE Trans. Parallel Distributed Syst., 2022

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

CoRR, 2022

Persistent Kernels for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka

CoRR, 2022

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction.

Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Scalable FBP decomposition for cone-beam CT reconstruction.

Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2021

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?

Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations.

Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2019

iFDK: a scalable framework for instant high-resolution image reconstruction.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2019

A versatile software systolic execution model for GPU memory-bound kernels.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2019

2018

Efficient Algorithms for the Summed Area Tables Primitive on GPUs.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the IEEE International Conference on Cluster Computing, 2018