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- Xian-He Sun
Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA - Xianhe Sun
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Publication search results
found 297 matches
- 2024
- Xing Pan, Song Ding, Xianheng Zhao, Wenjin Zhang, Dujun Zuo, Liuwang Sun:
Human error probability evaluation based on reference task using intuitionistic fuzzy theory. Comput. Ind. Eng. 191: 110105 (2024) - Mo Zou, Mingzhe Zhang, Rujia Wang, Xian-He Sun, Xiaochun Ye, Dong-Rui Fan, Zhimin Tang:
Skyway: Accelerate Graph Applications with a Dual-Path Architecture and Fine-Grained Data Management. J. Comput. Sci. Technol. 39(4): 871-894 (2024) - Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads. ACM SIGOPS Oper. Syst. Rev. 58(1): 37-44 (2024) - Zhe Pan, Xu Li, Shuibing He, Xuechen Zhang, Rui Wang, Yunjun Gao, Gang Chen, Xian-He Sun:
AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. IEEE Trans. Computers 73(12): 2664-2677 (2024) - Xiaoyang Lu, Boyu Long, Xiaoming Chen, Yinhe Han, Xian-He Sun:
ACES: Accelerating Sparse Matrix Multiplication with Adaptive Execution Flow and Concurrency-Aware Cache Optimizations. ASPLOS (3) 2024: 71-85 - Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun:
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. CCGrid 2024: 577-586 - Meng Tang, Jaime Cernuda, Jie Ye, Luanzheng Guo, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun:
DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics. CLUSTER 2024: 357-369 - Xiaoyang Lu, Hamed Najafi, Jason Liu, Xian-He Sun:
CHROME: Concurrency-Aware Holistic Cache Management Framework with Online Reinforcement Learning. HPCA 2024: 1154-1167 - Jaime Cernuda, Jie Ye, Anthony Kougkas, Xian-He Sun:
HStream: A hierarchical data streaming engine for high-throughput scientific applications. ICPP 2024: 231-240 - Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen:
AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. ICPP 2024: 1052-1061 - Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae:
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. ICPP 2024: 812-821 - Neeraj Rajesh, Keith Bateman, Jean Luca Bez, Suren Byna, Anthony Kougkas, Xian-He Sun:
TunIO: An AI-powered Framework for Optimizing HPC I/O. IPDPS 2024: 494-505 - 2023
- Yan Zhou, Huiling Shi, Yanling Zhao, Wei Ding, Jing Han, Hongyang Sun, Xianheng Zhang, Chang Tang, Wei Zhang:
Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network. J. Cloud Comput. 12(1): 53 (2023) - Xian-He Sun, Xiaoyang Lu:
The Memory-Bounded Speedup Model and Its Impacts in Computing. J. Comput. Sci. Technol. 38(1): 64-79 (2023) - Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. CHEOPS@EuroSys 2023: 9-16 - Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen:
iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. HPCA 2023: 220-232 - Xiaoyang Lu, Rujia Wang, Xian-He Sun:
CARE: A Concurrency-Aware Enhanced Lightweight Cache Management Framework. HPCA 2023: 1208-1220 - Boyu Long, Libo Shen, Xiaoyu Zhang, Yinhe Han, Xian-He Sun, Xiaoming Chen:
Meltrix: A RRAM-Based Polymorphic Architecture Enhanced by Function Synthesis. ICCAD 2023: 1-9 - Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun:
Data Flow Lifecycles for Optimizing Workflow Coordination. SC 2023: 58:1-58:15 - Izzet Yildirim, Hariharan Devarajan, Anthony Kougkas, Xian-He Sun, Kathryn M. Mohror:
IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems. SC Workshops 2023: 1209-1215 - 2022
- Mo Zou, Mingzhe Zhang, Rujia Wang, Xian-He Sun, Xiaochun Ye, Dongrui Fan, Zhimin Tang:
Accelerating Graph Processing With Lightweight Learning-Based Data Reordering. IEEE Comput. Archit. Lett. 21(1): 5-8 (2022) - Ping Chen, Shuibing He, Xuechen Zhang, Shuaiben Chen, Peiyi Hong, Yanlong Yin, Xian-He Sun:
Accelerating Tensor Swapping in GPUs With Self-Tuning Compression. IEEE Trans. Parallel Distributed Syst. 33(10): 4484-4498 (2022) - Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen:
NVAlloc: rethinking heap metadata management in persistent memory allocators. ASPLOS 2022: 115-127 - Hariharan Devarajan, Anthony Kougkas, Huihuo Zheng, Venkatram Vishwanath, Xian-He Sun:
Stimulus: Accelerate Data Management for Scientific AI applications in HPC. CCGRID 2022: 109-118 - Keith Bateman, Neeraj Rajesh, Jaime Cernuda Garcia, Luke Logan, Jie Ye, Stephen Herbein, Anthony Kougkas, Xian-He Sun:
LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services. HIPC 2022: 246-255 - Luke Logan, Jaime Cernuda Garcia, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace. SC 2022: 23:1-23:15 - Hamed Najafi, Jason Liu, Xiaoyang Lu, Xian-He Sun:
A Generalized Model for Modern Hierarchical Memory System. WSC 2022: 2178-2188 - 2021
- Yuhang Liu, Xian-He Sun, Yang Wang, Yungang Bao:
HCDA: from computational thinking to a generalized thinking paradigm. Commun. ACM 64(5): 66-75 (2021) - Jason Liu, Pedro Espina, Xian-He Sun:
A Study on Modeling and Optimization of Memory Systems. J. Comput. Sci. Technol. 36(1): 71-89 (2021) - Xian-He Sun, Dong Li, Wen-Guang Chen, Tao Li, Jiwu Shu, Bo Wu, Jin Xiong, Jinging Xue, Feng Zhang, Jidong Zhai, Zhiia Zhao:
Preface. J. Comput. Sci. Technol. 36(1): 1-3 (2021)
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