Peng Chen - RankMe

47 papers A* 1A 14B 1C 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	FRUGAL: Pushing GPU Applications beyond Memory Limits. CGO Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
2026	J	`jnl`	Neural architecture search for generative adversarial networks with hybrid convolution. Neurocomputing Yu Xue, Yufeng Zou, Mohamed Wahib, Peng Chen, Moncef Gabbouj
2026	J	`jnl`	Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation. CoRR Zhengyong Huang, Ning Jiang, Xingwen Sun, Lihua Zhang, Peng Chen, Jens Domke, Yao Sui
2025	B	`conf`	A General and Scalable GCN Training Framework on CPU Supercomputers. PPoPP Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	A	`conf`	A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. SC Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng
2025	J	`jnl`	Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling. Comput. Methods Programs Biomed. Pei Gao, Zheng Chen, Xin Liu, Peng Chen, Yasuko Matsubara, Yasushi Sakurai
2025	A*	`conf`	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. ICLR Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2025	A	`conf`	NM-SpMM: Accelerating Matrix Multiplication Using N: M Sparsity with GPGPU. IPDPS Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan
2025	J	`jnl`	NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU. CoRR Cong Ma, Du Wu, Zhelang Deng, Jiang Chen, Xiaowen Huang, Jintao Meng, Wenxi Zhu, Bingqiang Wang, Amelie Chi Zhou, Peng Chen, Minwen Deng, Yanjie Wei, Shengzhong Feng, Yi Pan
2025	J	`jnl`	Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation. IEEE Trans. Evol. Comput. Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, Mohamed Wahib
2025	J	`jnl`	Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures. Future Gener. Comput. Syst. Manh Cuong Dao, Phi Le Nguyen, Hieu H. Pham, Thanh Hung Nguyen, Peng Chen, Mohamed Wahib, Truong Thao Nguyen
2025	J	`jnl`	Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. CoRR Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib
2025	J	`jnl`	Predictor-assisted evolutionary neural architecture search for spiking neural networks. Neurocomputing Yuting Wang, Yu Xue, Wei Ding, Yiyu Tan, Peng Chen, Mohamed Wahib
2025	J	`jnl`	SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication. CoRR Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	A	`conf`	Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers. ICS Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	A	`conf`	Adaptive Patching for High-resolution Image Segmentation with Transformers. SC Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib
2024	J	`jnl`	Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
2024	—	`conf`	Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage. CLUSTER Workshops Du Wu, Peng Chen, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	—	`conf`	Communication Optimization for Distributed GCN Training on ABCI Supercomputer. CLUSTER Workshops Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	J	`jnl`	Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. IEEE Trans. Evol. Comput. Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang
2024	J	`jnl`	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. CoRR Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2024	—	`conf`	Investigating Nvidia GPU Architecture Trends via Microbenchmarks. CLUSTER Workshops Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	A	`conf`	Real-time High-resolution X-Ray Computed Tomography. ICS Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	J	`jnl`	SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers. CoRR Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2023	J	`jnl`	At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2023	—	`conf`	Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	J	`jnl`	Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	A	`conf`	PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	A	`conf`	Revisiting Temporal Blocking Stencil Optimizations. ICS Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	J	`jnl`	Revisiting Temporal Blocking Stencil Optimizations. CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023	J	`jnl`	Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 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
2023	J	`jnl`	Ultra-Long Sequence Distributed Transformer. CoRR Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
2022	J	`jnl`	At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2022	J	`jnl`	Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. IEEE Trans. Parallel Distributed Syst. Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng
2022	A	`conf`	Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. SC Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
2022	J	`jnl`	Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. CoRR Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
2022	J	`jnl`	Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
2021	A	`conf`	Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2021	J	`jnl`	Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. CoRR Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
2021	A	`conf`	Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. ICS Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
2021	A	`conf`	Scalable FBP decomposition for cone-beam CT reconstruction. SC Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
2020	J	`jnl`	Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2019	J	`jnl`	A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels. CoRR Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019	A	`conf`	A versatile software systolic execution model for GPU memory-bound kernels. SC Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019	J	`jnl`	iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction. CoRR Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019	A	`conf`	iFDK: a scalable framework for instant high-resolution image reconstruction. SC Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2018	C	`conf`	Efficient Algorithms for the Summed Area Tables Primitive on GPUs. CLUSTER Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka