Search Results - "Tian, Jiannan"

GPU-Accelerated Error-Bounded Lossy Compression for Scientific Data Toward Exascale Computing by Tian, Jiannan

“…Today’s scientific exploration is driven by large-scale simulations and advanced instruments, generating vast amounts of data. As we advance into the era of…”
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TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations by Wang, Daoce, Pulido, Jesus, Grosset, Pascal, Jin, Sian, Tian, Jiannan, Zhao, Kai, Ahrens, James, Tao, Dingwen

“…Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and…”
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SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors by Liang, Xin, Zhao, Kai, Di, Sheng, Li, Sihuan, Underwood, Robert, Gok, Ali M., Tian, Jiannan, Deng, Junjing, Calhoun, Jon C., Tao, Dingwen, Chen, Zizhong, Cappello, Franck

“…Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O…”
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Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling by Jin, Sian, Di, Sheng, Tian, Jiannan, Byna, Suren, Tao, Dingwen, Cappello, Franck

“…Error-bounded lossy compression is one of the most effective techniques for reducing scientific data sizes. However, the traditional trial-and-error approach…”
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Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs by Tian, Jiannan, Di, Sheng, Yu, Xiaodong, Rivera, Cody, Zhao, Kai, Jin, Sian, Feng, Yunhe, Liang, Xin, Tao, Dingwen, Cappello, Franck

“…Error-bounded lossy compression is a critical technique for significantly reducing scientific data volumes. With ever-emerging heterogeneous high-performance…”
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Real-time Monitoring Technology of Voltage Sag Disturbance in Distribution Network Based on TCN-Attention Neural Network and Flink Flow Computing by Chen, Zexi, Yang, Li, Tian, Jiannan, Chen, Zeng, Xu, Xiaoye, Zhao, Ergang

“…In the face of the challenges brought by the complexity of power grid, diversification of disturbance factors, isolation of monitoring points and other issues…”
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Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing by Cappello, Franck, Acosta, Mario, Agullo, Emmanuel, Anzt, Hartwig, Calhoun, Jon, Di, Sheng, Giraud, Luc, Grützmacher, Thomas, Jin, Sian, Sano, Kentaro, Sato, Kento, Singh, Amarjit, Tao, Dingwen, Tian, Jiannan, Ueno, Tomohiro, Underwood, Robert, Vivien, Frédéric, Yepes, Xavier, Kazutomo, Yoshii, Zhang, Boyuan

“…The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the same time lossy compression for scientific data became an important topic for the…”
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RSSI localization algorithm based on RBF neural network by Jiannan Tian, Zhan Xu

“…This paper proposes a algorithm method of RBF neural network based on RSSI localization algorithm. It solves the question which through traditional filter…”
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Efficient Error-Bounded Lossy Compression for CPU Architectures by Dube, Griffin, Tian, Jiannan, Di, Sheng, Tao, Dingwen, Calhoun, Jon C., Cappello, Franck

“…Modern HPC applications produce increasingly large amounts of data, which limits the performance of current extreme-scale systems. Lossy compression, helps to…”
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SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors by Liang, Xin, Zhao, Kai, Di, Sheng, Li, Sihuan, Underwood, Robert, Gok, Ali M., Tian, Jiannan, Deng, Junjing, Calhoun, Jon C., Tao, Dingwen, Chen, Zizhong, Cappello, Franck

“…Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O…”
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Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures by Tian, Jiannan, Rivera, Cody, Di, Sheng, Chen, Jieyang, Liang, Xin, Tao, Dingwen, Cappello, Franck

“…Today's high-performance computing (HPC) applications are producing vast volumes of data, which are challenging to store and transfer efficiently during the…”
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H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture by Zhang, Chengming, Geng, Tong, Guo, Anqi, Tian, Jiannan, Herbordt, Martin, Li, Ang, Tao, Dingwen

“…Graph Neural Networks (GNNs) have drawn tremendous attention due to their unique capability to extend Machine Learning (ML) approaches to applications…”
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FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data by Chen, Xinyu, Tian, Jiannan, Beaver, Ian, Freeman, Cynthia, Yan, Yan, Wang, Jianguo, Tao, Dingwen

“…While both the database and high-performance computing (HPC) communities utilize lossless compression methods to minimize floating-point data size, a…”
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TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations by Wang, Daoce, Pulido, Jesus, Grosset, Pascal, Jin, Sian, Tian, Jiannan, Zhao, Kai, Ahrens, James, Tao, Dingwen

“…Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and…”
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Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework by Wang, Daoce, Pulido, Jesus, Grosset, Pascal, Tian, Jiannan, Ahrens, James, Tao, Dingwen

“…Today's scientific simulations generate exceptionally large volumes of data, challenging the capacities of available I/O bandwidth and storage space. This…”
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GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs by Zhang, Boyuan, Tian, Jiannan, Di, Sheng, Yu, Xiaodong, Swany, Martin, Tao, Dingwen, Cappello, Franck

“…Today's graphics processing unit (GPU) applications produce vast volumes of data, which are challenging to store and transfer efficiently. Thus, data…”
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Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs by Rivera, Cody, Di, Sheng, Tian, Jiannan, Yu, Xiaodong, Tao, Dingwen, Cappello, Franck

“…More and more HPC applications require fast and effective compression techniques to handle large volumes of data in storage and transmission. Not only do these…”
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LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs by Shan, Baodi, Shamji, Aabid, Tian, Jiannan, Li, Guanpeng, Tao, Dingwen

“…Error-bounded lossy compression is becoming more and more important to today's extreme-scale HPC applications because of the ever-increasing volume of data…”
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A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization by Wang, Daoce, Grosset, Pascal, Pulido, Jesus, Athawale, Tushar M, Tian, Jiannan, Zhao, Kai, Lukić, Zarija, Huebl, Axel, Wang, Zhe, Ahrens, James, Tao, Dingwen

“…Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage efficiency for HPC applications generating vast volumes of data. However,…”
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Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression by Feng, Hao, Zhang, Boyuan, Ye, Fanjiang, Si, Min, Chu, Ching-Hsiang, Tian, Jiannan, Yin, Chunxing, Deng, Summer, Hao, Yuchen, Balaji, Pavan, Geng, Tong, Tao, Dingwen

“…DLRM is a state-of-the-art recommendation system model that has gained widespread adoption across various industry applications. The large size of DLRM models,…”
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