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243 results on '"Li, Jianjiang"'

1. Significant improvement of lossy compression rate and speed of HPC data using perceptron parallelized compression

Author

Chen, Xinzhe and Li, Jianjiang

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

The escalating surge in data generation presents formidable challenges to information technology, necessitating advancements in storage, retrieval, and utilization. With the proliferation of artificial intelligence and big data, the "Data Age 2025" report forecasts an exponential increase in global data production. The escalating data volumes raise concerns about efficient data processing. The paper addresses the predicament of achieving a lower compression ratio while maintaining or surpassing the compression performance of state-of-the-art techniques. This paper introduces a lossy compression framework grounded in the perceptron model for data prediction, striving for high compression quality. The contributions of this study encompass the introduction of positive and negative factors within the relative-to-absolute domain transformation algorithm, the utilization of a three-layer perceptron for improved predictive accuracy, and data selection rule modifications for parallelized compression within compression blocks. Comparative experiments with SZ2.1's PW_REL mode demonstrate a maximum compression ratio reduction of 17.78%. The article is structured as follows: the introduction highlights the data explosion challenge; related work delves into existing solutions; optimization of mapping algorithms in the relative and absolute domains is expounded in Section 3,the design of the new compression framework is detailed in Section 4,In Section 5 we describe the whole process and give pseudo-code, and in Section 6, our solution is evaluated. Finally, in Section 7, we provide an outlook for future work.

Published
2023

17. Comparative Analysis of Large Language Models in Chinese Medical Named Entity Recognition.

Author

Zhu, Zhichao, Zhao, Qing, Li, Jianjiang, Ge, Yanhu, Ding, Xingjian, Gu, Tao, Zou, Jingchen, Lv, Sirui, Wang, Sheng, and Yang, Ji-Jiang

Subjects
LANGUAGE models, ELECTRONIC health records, GENERATIVE pre-trained transformers, CHINESE language, RESEARCH personnel
Abstract

The emergence of large language models (LLMs) has provided robust support for application tasks across various domains, such as name entity recognition (NER) in the general domain. However, due to the particularity of the medical domain, the research on understanding and improving the effectiveness of LLMs on biomedical named entity recognition (BNER) tasks remains relatively limited, especially in the context of Chinese text. In this study, we extensively evaluate several typical LLMs, including ChatGLM2-6B, GLM-130B, GPT-3.5, and GPT-4, on the Chinese BNER task by leveraging a real-world Chinese electronic medical record (EMR) dataset and a public dataset. The experimental results demonstrate the promising yet limited performance of LLMs with zero-shot and few-shot prompt designs for Chinese BNER tasks. More importantly, instruction fine-tuning significantly enhances the performance of LLMs. The fine-tuned offline ChatGLM2-6B surpassed the performance of the task-specific model BiLSTM+CRF (BC) on the real-world dataset. The best fine-tuned model, GPT-3.5, outperforms all other LLMs on the publicly available CCKS2017 dataset, even surpassing half of the baselines; however, it still remains challenging for it to surpass the state-of-the-art task-specific models, i.e., Dictionary-guided Attention Network (DGAN). To our knowledge, this study is the first attempt to evaluate the performance of LLMs on Chinese BNER tasks, which emphasizes the prospective and transformative implications of utilizing LLMs on Chinese BNER tasks. Furthermore, we summarize our findings into a set of actionable guidelines for future researchers on how to effectively leverage LLMs to become experts in specific tasks. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Research on Shared Resource Contention of Cloud Data Center

Author

Hu, Jingyuan, Li, Jianjiang, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hu, Changjun, editor, Yang, Wen, editor, Jiang, Congfeng, editor, and Dai, Dong, editor

Published
2019
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20. The Performance Test and Optimization of Crystal-MD Program on Tianhe-2

Author

Li, Jianjiang, Zhang, Kai, Wei, Peng, Wang, Jie, Hu, Changjun, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hu, Changjun, editor, Yang, Wen, editor, Jiang, Congfeng, editor, and Dai, Dong, editor

Published
2019
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26. Kernel Optimization on Short-Range Potentials Computations in Molecular Dynamics Simulations

Author

Wang, Xianmeng, Li, Jianjiang, Wang, Jue, He, Xinfu, Nie, Ningming, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Chen, Wenguang, editor, Yin, Guisheng, editor, Zhao, Gansen, editor, Han, Qilong, editor, Jing, Weipeng, editor, Sun, Guanglu, editor, and Lu, Zeguang, editor

Published
2016
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31. Microstructures, Mechanical and High-Temperature Tribological Properties of Dual-Phase Fe50Mn30Co10Cr10 High-Entropy Alloy Fabricated by Laser Metal Deposition.

Author

Sun, Ming, Liu, Guocheng, Wei, Wenting, Zhou, Lingyun, Li, Jianjiang, and Tu, Qiyong

Subjects
LASER deposition, MATERIAL plasticity, FACE centered cubic structure, MICROSTRUCTURE, ALLOYS, FRETTING corrosion, NICKEL-chromium alloys, DUAL-phase steel
Abstract

The dual-phase Fe50Mn30Co10Cr10 (atomic percent, at.%) high-entropy alloy (HEA) was fabricated successfully through a laser metal deposition process. Fe50Mn30Co10Cr10 HEA consisted of face-centered cubic (FCC) γ and hexagonal close-packed (HCP) ε phases, with an alternating distribution of equiaxed and columnar grains. The microhardness, tensile strength and elongation of the alloy were 270 ± 20 HV, 689 MPa and 38%, respectively. After tensile deformation, many HCP ε phases were generated inside and at the boundaries of FCC γ grains because of the transformation-induced plasticity effect. The content of the HCP ε phase increased because of tensile deformation, resulting in a 75% decrease in the average grain size of the samples. Under the effect of dispersion strengthening, the strength, microhardness and plasticity of the material were greatly enhanced, with the product of strength and elongation up to 26.2 GPa%. The average friction coefficient and wear rate of the alloy were 0.43 and 1.88 × 10−5 mm3/N/m at 400°C, respectively, which were 38.6% and 81.6% lower than those at room temperature, showing great high-temperature wear resistance. The main wear mechanism of the alloy at 400°C was oxidative wear, accompanied by abrasive wear and delamination. [ABSTRACT FROM AUTHOR]

Published
2023
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33. A Heuristic Rule of Partitioning Irregular Loop for Parallelizing Compilers

Author

Hu, Changjun, Liu, Yali, Wang, Jue, Li, Jianjiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, Wu, editor, Chen, Zhangxin, editor, Douglas, Craig C., editor, and Tong, Weiqin, editor

Published
2010
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34. OpenMP Extensions for Irregular Parallel Applications on Clusters

Author

Wang, Jue, Hu, Changjun, Zhang, Jilin, Li, Jianjiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chapman, Barbara, editor, Zheng, Weiming, editor, Gao, Guang R., editor, Sato, Mitsuhisa, editor, Ayguadé, Eduard, editor, and Wang, Dongsheng, editor

Published
2008
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35. OpenMP Implementation of Parallel Linear Solver for Reservoir Simulation

Author

Hu, Changjun, Zhang, Jilin, Wang, Jue, Li, Jianjiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chapman, Barbara, editor, Zheng, Weiming, editor, Gao, Guang R., editor, Sato, Mitsuhisa, editor, Ayguadé, Eduard, editor, and Wang, Dongsheng, editor

Published
2008
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36. Automatic Transformation for Overlapping Communication and Computation

Author

Hu, Changjun, Shao, Yewei, Wang, Jue, Li, Jianjiang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cao, Jian, editor, Li, Minglu, editor, Wu, Min-You, editor, and Chen, Jinjun, editor

Published
2008
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37. Transforming the Adaptive Irregular Out-of-Core Applications for Hiding Communication and Disk I/O

Author

Hu, Changjun, Yao, Guangli, Wang, Jue, Li, Jianjiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2007
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38. Contention-Free Communication Scheduling for Group Communication in Data Parallelism

Author

Wang, Jue, Hu, Changjun, Li, Jianjiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2007
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39. A parallel and balanced SVM algorithm on spark for data-intensive computing.

Author

Li, Jianjiang, Shi, Jinliang, Liu, Zhiguo, and Feng, Can

Subjects
*SUPPORT vector machines, *DATA mining, *ALGORITHMS, *FACE perception
Abstract

Support Vector Machine (SVM) is a machine learning with excellent classification performance, which has been widely used in various fields such as data mining, text classification, face recognition and etc. However, when data volume scales to a certain level, the computational time becomes too long and the efficiency becomes low. To address this issue, we propose a parallel balanced SVM algorithm based on Spark, named PB-SVM, which is optimized on the basis of the traditional Cascade SVM algorithm. PB-SVM contains three parts, i.e., Clustering Equal Division, Balancing Shuffle and Iteration Termination, which solves the problems of data skew of Cascade SVM and the large difference between local support vector and global support vector. We implement PB-SVM in AliCloud Spark distributed cluster with five kinds of public datasets. Our experimental results show that in the two-classification test on the dataset covtype, compared with MLlib-SVM and Cascade SVM on Spark, PB-SVM improves efficiency by 38.9% and 75.4%, and the accuracy is improved by 7.16% and 8.38%. Moreover, in the multi-classification test, compared with Cascade SVM on Spark on the dataset covtype, PB-SVM improves efficiency and accuracy by 94.8% and 18.26% respectively. [ABSTRACT FROM AUTHOR]

Published
2023
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43. ORC-OpenMP: An OpenMP Compiler Based on ORC

Author

Chen, Yongjian, Li, Jianjiang, Wang, Shengyuan, Wang, Dingxing, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bubak, Marian, editor, van Albada, Geert Dick, editor, Sloot, Peter M. A., editor, and Dongarra, Jack, editor

Published
2004
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44. Performance Comparison between OpenMP and MPI on IA64 Architecture

Author

Qi, Lin, Shen, Meiming, Chen, Yongjian, Li, Jianjiang, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bubak, Marian, editor, van Albada, Geert Dick, editor, Sloot, Peter M. A., editor, and Dongarra, Jack, editor

Published
2004
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47. Photolithographic Approaches for Fabricating Highly Ordered Nanopatterned Arrays

Author

Li, Xiaoru, Song, Guojun, Peng, Zhi, She, Xilin, Li, Jianjiang, Sun, Jin, Zhou, Di, Li, Peidong, and Shao, Zengjun

Abstract

Abstract: In this work, we report that large area metal nanowire and polymer nanotube arrays were successfully patterned by photolithographic approach using anodic aluminum oxide (AAO) templates. Nanowires were produced by electrochemical deposition, and nanotubes by solution-wetting. The highly ordered patterns of nanowire and nanotube arrays were observed using scanning electron microscopy (SEM) and found to stand free on the substrate. The method is expected to play an important role in the application of microdevices in the future.

Published
2024
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48. Synthesis and Growth Mechanism of Ni Nanotubes and Nanowires

Author

Wang Yiqian, Li Xiaoru, Song Guojun, Peng Zhi, Yu Yongming, She Xilin, and Li Jianjiang

Subjects
Nanotubes, Nanowires, Growth mechanism, Electrodeposition, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Abstract Highly ordered Ni nanotube and nanowire arrays were fabricated via electrodeposition. The Ni microstructures and the process of the formation were investigated using conventional and high-resolution transmission electron microscope. Herein, we demonstrated the systematic fabrication of Ni nanotube and nanowire arrays and proposed an original growth mechanism. With the different deposition time, nanotubes or nanowires can be obtained. Tubular nanostructures can be obtained at short time, while nanowires take longer time to form. This formation mechanism is applicable to design and synthesize other metal nanostructures and even compound nanostuctures via template-based electrodeposition.

Published
2009
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