As a statistical tool to assist formative assessments in educational settings, diagnostic classification models (DCMs) have been increasingly used to provide diagnostic information regarding examinees’ attributes. DC...
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Electronic packaging technology undergoes Accelerated Thermal Cycling Test (ACTC) before hitting the market. Finite element analysis is commonly used to build models for electronic packaging products. However, simulat...
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ISBN:
(纸本)9798350345971
Electronic packaging technology undergoes Accelerated Thermal Cycling Test (ACTC) before hitting the market. Finite element analysis is commonly used to build models for electronic packaging products. However, simulation errors may arise due to differences in physical concepts and considerations among researchers. To overcome this challenge, we create a database through validated finite element models and combine it with machine learning. In the domain of machine learning models, training time is a crucial research focus. Nevertheless, grid search time is often overlooked, despite its significant impact on machine learning model efficiency. To address this issue, this study utilizes parallel computing to explore the search for optimized hyperparameters in the context of the Wafer Level Chip Scale Package (WLCSP) as a case study. Additionally, custom empirical formulas are utilized to enhance the efficiency of grid search methods, thereby improving the time-to-market and competitiveness of packaged products.
Vehicular ad-hoc networks (VANETs) demand fast processing of a high volume of data transmitted by the vehicular nodes to meet the requirements of low processing delay and high throughput. To meet such requirements thr...
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ISBN:
(纸本)9798350302936
Vehicular ad-hoc networks (VANETs) demand fast processing of a high volume of data transmitted by the vehicular nodes to meet the requirements of low processing delay and high throughput. To meet such requirements through computational speed-up, parallel computing techniques are adopted in diverse areas. Such an approach is the use of Graphics Processing Unit (GPU)-based parallel computing. To effectively use GPUs, the challenges of this architecture need to be addressed. In this paper, we review the state-of-the-art GPU-based techniques for VANETs, present a taxonomy of them, and identify their limitations. We also recommend future directions toward further usage and optimization of GPU-based parallel computing for VANETs. To the best of our knowledge, this is the first review on GPU-based parallel computing for VANETs.
This manuscript documents our approach to addressing the data challenge posted by ICPHM23 conference W. The task is a time series classification problem. We see two general toolsets can be used to complete the task an...
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ISBN:
(纸本)9798350346251
This manuscript documents our approach to addressing the data challenge posted by ICPHM23 conference W. The task is a time series classification problem. We see two general toolsets can be used to complete the task and produce promising high accuracy for such a large data set. One is deep neural networks, and the other is gradient boosting. We choose gradient boosting During feature preparation, we developed a customized C++ parallel computing software to extract all desired features. The manuscript includes our thought process and final cross validation results.
The recent development of the TOUGH3 code allows for a faster and more reliable fluid flow simulator. At the same time, new versions of FLAC3D are released periodically, allowing for new features and faster execution....
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The recent development of the TOUGH3 code allows for a faster and more reliable fluid flow simulator. At the same time, new versions of FLAC3D are released periodically, allowing for new features and faster execution. In this paper, we present the first implementation of the coupling between TOUGH3 and FLAC3Dv6/7, maintaining parallel computing capabilities for the coupled fluid flow and geomechanical codes. We compare the newly developed version with analytical solutions and with the previous approach, and provide some performance analysis on different meshes and varying the number of running processors. Finally, we present two case studies related to fault reactivation during CO2 sequestration and nuclear waste disposal. The use of parallel computing allows for meshes with a larger number of elements, and hence more detailed understanding of thermo-hydro-mechanical processes occurring at depth.
This paper describes the status quo of intelligent checking technology and the efficiency problems existing in the current checking system, and analyzes the reasons why the processing complexity of the checking system...
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Power electronics converters become an enabler for future power and energy system. High-fidelity power electronics simulation can be compute-intensive and time-consuming because of the higher switching frequency (i.e....
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Recently, parallel and distributed computing has become indispensable in various application domains, such as cloud computing and extensive data analysis, to meet the growing demands for efficiency and reliability. In...
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For the past decade, the K Nearest Neighbor (K-NN) search in high dimensional space has been explored extensively. Considerable theoretical and practical algorithms to accelerate approximate K-NN search have been pres...
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parallel computing can provide a practical way in performing building fire simulation which often contains an immense amount of grids. Four dimensionless indices were presented for the evaluation of the load balance. ...
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parallel computing can provide a practical way in performing building fire simulation which often contains an immense amount of grids. Four dimensionless indices were presented for the evaluation of the load balance. According to the four indices, an empirical load description function was established based on the orthogonal experimental method. A domain decomposition method based on load balancing (DDMBLB) was then proposed. A preprocessing tool based on the DDMBLB method was developed, which can decompose the domain auto-matically with load balancing. parallel numerical simulations based on the DDMBLB method were performed on an express logistics center fire. The comparison of DDMBLB method and the commonly-used Recursive Coor-dinate Dichotomy (RCB) method was done to analyze the computing time, speedup ratio and parallel efficiency. The DDMBLB method can significantly reduce the fire simulation time compared to the RCB method. It has a better domain decomposition effect than the RCB method with a greater speedup ration and a higher parallel efficiency.
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