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ORCIDPeng Chen 0035
Person information
- affiliation: National Institute of Advanced Industrial Science and Technology, Japan, RIKEN Center for Computational Science, Tokyo, Japan
- affiliation (PhD 2020): Tokyo Institute of Technology, AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, Japan
Other persons with the same name
- Peng Chen — disambiguation page
- Peng Chen 0001
![[0000-0002-5810-8159]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5810-8159")
— Anhui University, Institute of Health Sciences, Hefei, China (and 2 more) - Peng Chen 0002 — Mie University, Faculty of Bioresources, Tsu, Japan (and 1 more)
- Peng Chen 0003 — Central South University, Changsha
- Peng Chen 0004 — University of Science and Technology of China
- Peng Chen 0005 — East China Normal University
- Peng Chen 0006 — Florida State University (and 1 more)
- Peng Chen 0007 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Peng Chen 0008 — Zhejiang University, College of Information and Engineering, Hangzhou, China
- Peng Chen 0009 — Beijing University of Posts and Telecommunications
- Peng Chen 0010 — Kyushu Institute of Technology
- Peng Chen 0011 — China Three Gorges University
- Peng Chen 0012 — University of North Texas
- Peng Chen 0013 — North China University of Water Conservancy and Hydroelectric Power
- Peng Chen 0014 — Peking University, Shenzhen, China
- Peng Chen 0015 — Indiana University, Bloomington, USA
- Peng Chen 0016 — ETH Zurich, Switzerland
- Peng Chen 0017 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
- Peng Chen 0018 — Southeast University, School of Information Science and Engineering, Nanjing, China (and 1 more)
- Peng Chen 0019 — State Oceanic Administration, Hangzhou, China
- Peng Chen 0020 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Peng Chen 0021 — Beihang University, School of Transportation Science and Engineering, Beijing, China
- Peng Chen 0022 — University College Dublin, School of Electrical and Electronic Engineering, Ireland (and 1 more)
- Peng Chen 0023 — Second Institute of Oceanography, State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou, China (and 1 more)
- Peng Chen 0024 — University of Texas at Austin, Institute for Computational Engineering and Sciences, Austin, TX, USA
- Peng Chen 0025 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
- Peng Chen 0026 — Dalian Maritime University, Navigation College, Dalian, China (and 1 more)
- Peng Chen 0027 — National University of Singapore, Singapore (and 1 more)
- Peng Chen 0028 — China Telecom, Technology Innovation Center, Beijing, China
- Peng Chen 0029 — Microsoft Research and AI Group, Beijing, China
- Peng Chen 0030 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Peng Chen 0031 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Peng Chen 0032 — Shanghai Maritime University, Department of Computer Science and Technology, China
- Peng Chen 0033 — Jilin University, Second Hospital, Changchun, China
- Peng Chen 0034 — ByteDance AI Lab, Beijing, China (and 1 more)
- Peng Chen 0036 — Dalian Maritime University of China, Navigation College, Key Laboratory of Transport Industry of Intelligent Water Transportation, China
- Peng Chen 0037 — University of Adelaide, School of Computer Science, SA, Australia (and 2 more)
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2020 – today
- 2023
[j3]Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka:
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20(4): 57:1-57:26 (2023)- [j2]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:
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34(10): 2767-2782 (2023) - [c10]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP 2023: 34-35 - [c9]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. ICS 2023: 167-179 - [c8]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Revisiting Temporal Blocking Stencil Optimizations. ICS 2023: 251-263 - [i10]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Revisiting Temporal Blocking Stencil Optimizations. CoRR abs/2305.07390 (2023) - [i9]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka:
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR abs/2306.03336 (2023) - [i8]Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley:
Ultra-Long Sequence Distributed Transformer. CoRR abs/2311.02382 (2023) - 2022
- [j1]Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng:
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. IEEE Trans. Parallel Distributed Syst. 33(11): 2885-2899 (2022) - [c7]Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle:
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. SC 2022: 8:1-8:13 - [i7]Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka:
Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR abs/2204.02064 (2022) - [i6]Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka:
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR abs/2204.02235 (2022) - [i5]Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle:
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. CoRR abs/2205.06327 (2022) - 2021
- [c6]Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka:
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. ICS 2021: 316-328 - [c5]Jens Domke, Emil Vatai, Aleksandr 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? IPDPS 2021: 1056-1065 - [c4]Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka:
Scalable FBP decomposition for cone-beam CT reconstruction. SC 2021: 9 - [i4]Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka:
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. CoRR abs/2104.13248 (2021) - 2020
- [i3]Jens Domke, Emil Vatai, Aleksandr 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? CoRR abs/2010.14373 (2020)
2010 – 2019
- 2019
- [c3]Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
A versatile software systolic execution model for GPU memory-bound kernels. SC 2019: 53:1-53:81 - [c2]Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
iFDK: a scalable framework for instant high-resolution image reconstruction. SC 2019: 84:1-84:24 - [i2]Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels. CoRR abs/1907.06154 (2019) - [i1]Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction. CoRR abs/1909.02724 (2019) - 2018
- [c1]Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka:
Efficient Algorithms for the Summed Area Tables Primitive on GPUs. CLUSTER 2018: 482-493
Coauthor Index
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