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ORCIDChengming Zhang 0006
Person information
- affiliation: Washington State University, Pullman, WA, USA
- affiliation: University of Alabama, Al, USA
Other persons with the same name
- Chengming Zhang (aka: Cheng-Ming Zhang) — disambiguation page
- Chengming Zhang 0001
![[0000-0003-4920-9481]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4920-9481")
(aka: Cheng-Ming Zhang 0001) — Harbin Institute of Technology, School of Electrical Engineering and Automation, China - Chengming Zhang 0002 — Shandong Agricultural University, College of Information Science and Engineering, China (and 1 more)
- Chengming Zhang 0003 — Chinese Academy of Sciences, Center for Excellence in Molecular Cell Science, Shanghai, China
- Chengming Zhang 0004 — North China University of Science and Technology, College of Artificial Intelligence, China (and 1 more)
- Chengming Zhang 0005 — Chinese Academy of Surveying and Mapping, Beijing, China (and 2 more)
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2020 – today
- 2024
[c12]Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminadabi, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. PODC 2024: 121-130- [i14]Aristeidis Tsaris, Chengming Zhang, Xiao Wang, Junqi Yin, Siyan Liu, Moetasim Ashfaq, Ming Fan, Jong-Youl Choi, Mohamed Wahib, Dan Lu, Prasanna Balaprakash, Fei-Yue Wang:
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. CoRR abs/2405.15780 (2024) - 2023
- [c11]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. AAAI 2023: 10464-10472 - [c10]Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS 2023: 324-335 - [c9]Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao:
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. PPoPP 2023: 260-273 - [c8]Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. SC Workshops 2023: 1757-1766 - [i13]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. CoRR abs/2301.09422 (2023) - [i12]Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. CoRR abs/2304.07334 (2023) - [i11]Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Shuaiwen Leon Song, Samyam Rajbhandari, Yuxiong He:
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models. CoRR abs/2309.14509 (2023) - [i10]Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. CoRR abs/2309.16976 (2023) - [i9]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [c7]Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao:
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. FPL 2022: 200-208 - [c6]Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao:
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. ICS 2022: 12:1-12:13 - [i8]Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao:
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. CoRR abs/2206.13734 (2022) - [i7]Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. CoRR abs/2211.00224 (2022) - [i6]Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao:
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. CoRR abs/2211.03715 (2022) - 2021
- [j1]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. 15(4): 886-899 (2021) - [c5]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS 2021: 266-278 - [c4]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED 2021: 135-141 - [i5]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR abs/2106.09166 (2021) - [i4]Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao:
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. CoRR abs/2106.13306 (2021) - [i3]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR abs/2111.09562 (2021) - 2020
- [c3]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC 2020: 1-6 - [c2]Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju:
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD 2020: 2214-2224 - [c1]Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello:
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. PPoPP 2020: 74-88 - [i2]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - [i1]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR abs/2011.10170 (2020)
Coauthor Index
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