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检索条件"任意字段=Conference on High Performance Computer Modernization Program"

共 10259 条记录，以下是131-140 订阅

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Al0.87Ga0.13N/Al0.64Ga0.36N HFET with fT >17 GHz and Vbr > 360 v 82

Al0.87Ga0.13N/Al0.64Ga0.36N HFET with fT >17 GHz and Vbr > 3...

引用

82nd Device Research conference, DRC 2024

作者： Chen, Jiahao Stephenson, Kenneth Mamun, Md Abdullah Wang, Zehuan Seshadri, Parthasarathy Khan, Asif Gupta, Chirag University of Wisconsin-Madison Department of Electrical and Computer Engineering MadisonWI53705 United States University of South Carolina College of Engineering and Computing ColumbiaSC29208 United States

ISBN: (纸本)9798350373738

Ultra-wide bandgap (AlN, diamond, Ga 2 O 3) have attracted significant research interest for high power and high frequency applications. Al rich (> 60%) AlGaN channel heterojunction field effect transistor (HFET) is a promising candidate for high power RF devices due to the large bandgap, high breakdown field and compatible saturation velocity with GaN. Consequently, Al rich (>60%) AlGaN channel transistors have been explored [ 1 - 8 ]. The AlGaN channel (Al > 60%) transistors have demonstrated good unity gain frequency (f T) performance (~40 GHz) and decent breakdown voltage (~45 V) [6]. However, short channel effects in Al rich (Al > 60%) transistors due to a reduced gate length between 80nm-150nm limited the high breakdown voltage performance demonstration with >10 GHz f T for Al rich (Al > 60%) AlGaN channels [6 , 7]. In this work, we demonstrate high frequency (fT > 17 GHz) and high breakdown voltage (>360 V, >150 V/μm) simultaneously for 64% AlGaN channel transistors. © 2024 IEEE.

关键词： Electric breakdown

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Libra: Architectural Support For Principled, Secure And Efficient Balanced Execution On high-End Processors 24

Libra: Architectural Support For Principled, Secure And Effi...

引用

31st conference on computer and Communications Security

作者： Winderix, Hans Bognar, Marton Daniel, Lesly-Ann Piessens, Frank Katholieke Univ Leuven DistriNet Leuven Belgium

ISBN: (纸本)9798400706363

Control-flow leakage (CFL) attacks enable an attacker to expose control-flow decisions of a victim program via side-channel observations. Linearization (i.e., elimination) of secret-dependent control flow is the main countermeasure against these attacks, yet it comes at a non-negligible cost. Conversely, balancing secret-dependent branches often incurs a smaller overhead, but is notoriously insecure on high-end processors. Hence, linearization has been widely believed to be the only effective countermeasure against CFL attacks. In this paper, we challenge this belief and investigate an unexplored alternative: how to securely balance secret-dependent branches on higher-end processors? We propose Libra, a generic and principled hardware-software codesign to efficiently address CFL on high-end processors. We perform a systematic classification of hardware primitives leaking control flow from the literature, and provide guidelines to handle them with our design. Importantly, Libra enables secure control-flow balancing without the need to disable performance-critical hardware such as the instruction cache and the prefetcher. We formalize the semantics of Libra and propose a code transformation algorithm for securing programs, which we prove correct and secure. Finally, we implement and evaluate Libra on an out-of-order RISC-V processor, showing performance overhead on par with insecure balanced code, and outperforming state-of-the-art linearized code by 19.3%.

关键词： Side Channels Control-Flow Leakage HW/SW Leakage Contracts HW/SW Codesign Secure Compilation Control-Flow Balancing

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How cultural diversity affects communication and collaboration within global high-performance project teams?

How cultural diversity affects communication and collaborati...

引用

2023 International conference on ENTERprise Information Systems, CENTERIS 2023 - International conference on Project MANagement, ProjMAN 2023 - International conference on Health and Social Care Information Systems and Technologies, HCist 2023

作者： Karlsen, Elsa Haagensen Nazar, Mohammed Western Norway University of Applied Sciences Postboks 7030 Bergen5020 Norway

Cultural dimensions and social behavior play a critical role in the success of a project team. Project managers must be aware of these factors and create an environment that fosters effective collaboration and trust. Tuckman's model for group development consists of five stages: forming, storming, norming, performing, and adjourning. A lack of trust among team members can prevent a team from becoming a high-performance team. Research has shown a correlation between high-performance teams and GLOBE's cultural dimensions. GLOBE, short for "Global Leadership and Organizational Behavior Effectiveness,"is a large-scale research program that explores cultural variations in leadership and organizational behavior. The cultural context and its impact on team dynamics can help organizations create more effective and high-performing teams. Trust is a key component of team performance and can lead to improved communication, collaboration, and problem-solving. In the oil and gas sector, multidisciplinary projects often involve complex engineering and technical challenges, so it is essential to have a team that is skilled, experienced, and focused on project success. The goal of this research is to investigate the influence of cultural dimensions and social behavior on project team success and to explore the role of trust in fostering effective collaboration and creating a high-performance team. The research approach employed in this study was secondary data analysis, utilizing existing data to address the research questions. This study found that cultural dimensions and social behavior significantly influence project team success. Trust plays a key role, and Tuckman's model highlights its importance for high-performance teams. Overall, the results of this study provide insights and guidance for organizations to navigate cultural diversity, build trust, and enhance team performance. Implementing these findings can lead to improved project outcomes, stronger collaboration, and inc

关键词： Gas industry

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Improving Few-Shot Object Detection Via Feature Alignment 21

Improving Few-Shot Object Detection Via Feature Alignment

引用

21st International computer conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2024

作者： Changxiong, Deng School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798331519254

With the rapid development of deep learning, Few-Shot Object Detection (FSOD) has achieved remarkable advancements in the domain of few-shot learning. Conventional methods predominantly adopt a two-stage fine-tuning framework. However, these approaches encounter challenges in feature representation capabilities and struggle to resolve the issue of feature alignment in few-shot scenarios effectively. To address these limitations, this paper introduces an innovative feature alignment module aimed at enhancing the effectiveness of few-shot object detection. This module facilitates the alignment of features between the source and target domains, thereby boosting the model's detection performance even with a limited sample size. Experiments conducted on the dataset show that this approach significantly surpasses traditional fine-tuning methods in both accuracy and generalization performance. This novel technique offers a fresh perspective for few-shot object detection and lays the groundwork for further exploration in this field. © 2024 IEEE.

关键词： Zero-shot learning

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Optimal Design of Induction Machine for Spindle Motor Considering Rotor Conductor Bar Porosity 26

Optimal Design of Induction Machine for Spindle Motor Consid...

引用

26th International conference on Electrical Machines and Systems, ICEMS 2023

作者： Seo, Chae-Won Jang, DoHyun Hwang, Young-Ho Song, In-Seok Kim, Yong-Jae Jung, Sang-Yong Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Chosun University Department of Electrical Engineering Gwangju Korea Republic of

ISBN: (纸本)9798350317589

This paper focuses on the impact of porosity on the reliability and structural robustness of Induction Machines used in high-precision applications. The proposed method investigates the influence of porosity electromagnetic field performance through the position and shape variables in Step 1. In Step 2, find a robust conductor bar shape that can withstand this porosity. The study proposes an optimal design approach to mitigate these effects by considering electromagnetic field performance and porosity sensitivity analysis. © 2023 IEEE.

关键词： Induction machine

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high performance of InSnO Thin-Film Transistors Enabled by Anodization Techniques

High Performance of InSnO Thin-Film Transistors Enabled by A...

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International conference on Display Technology, 2024

作者： Yang, Huan Le, Yong Lu, Lei Zhang, Shengdong School of Electronic and Computer Engineering Peking University Shenzhen518055 China School of Integrated Circuits Peking University Beijing100871 China

Amorphous ITO TFT technology based on the anodization approach is demonstrated, featured with the source/drain electrodes and channel region made of one single ITO layer. The anodized ITO TFT fabricated at room temperature shows high performance, including high on/off current ratio up to 109, high mobility of 56.1 cm2 V-1 s-1, low subthreshold swing of 0.14 V/decade, near-zero threshold voltage of 1.7 V and good stress stabilities. © 2024 John Wiley and Sons Inc. All rights reserved.

关键词： Thin film transistors

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Impact of Demographic and Co-Curricular Factors on the Academic Success of Students from Low-Income Families: A Scholarship program Study 54

Impact of Demographic and Co-Curricular Factors on the Acade...

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54th IEEE Frontiers in Education conference, FIE 2024

作者： Gonzalez-Nucamendi, Andres Neri, Luis García-Castelán, Rosa M.G. Robledo-Rella, Victor Valverde-Rebaza, Jorge Noguez, Julieta School of Engineering and Science Tecnologico de Monterrey Mexico City Mexico

ISBN: (纸本)9798350351507

This research paper describes the factors that contribute to the academic success of university students who receive scholarships due to their outstanding performance in high school, along with a track record of social impact and leadership activities, despite their disadvantaged economic status. The data analysis encompasses information from 2014 to 2023 for a sample of 1,796 students at Tecnologico de Monterrey, with over 60% enrolled in engineering programs. This study examines the factors that positively impact the academic performance of students enrolled in the 'Leaders of Tomorrow' scholarship program. The most relevant factors are participation in student group activities, international experiences, community activities, and projects related to technological development or research. Additionally, certain demographic factors, such as not being the first family member to attend university, younger age, coming from urban areas, proximity to the university campus, and female gender, also had a positive impact on academic results. It was found that previous work experiences, sports or cultural activities improve academic performance when properly balanced with the time dedicated to the academic study. Furthermore, the scope of student projects in high school, participation in leadership activities or in academic contests were not relevant to the university academic performance. Understanding the diversity of factors that contribute to academic success will enable more effective support, and the implementation of timely interventions aimed at maximizing the educational opportunities of these students. © 2024 IEEE.

关键词： Students

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Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence 23

Runtime Composition of Iterations for Fusing Loop-carried Sp...

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2023 International conference for high performance Computing, Networking, Storage and Analysis, SC 2023

作者： Cheshmi, Kazem Strout, Michelle Mehri Dehnavi, Maryam Electrical and Computer Engineering McMaster University Hamilton Canada Computer Science University of Arizona Tucson United States Computer Science University of Toronto Toronto Canada

ISBN: (纸本)9798400701092

Dependence between iterations in sparse computations causes inefficient use of memory and computation resources. This paper proposes sparse fusion, a technique that generates efficient parallel code for the combination of two sparse matrix kernels, where at least one of the kernels has loop-carried dependencies. Existing implementations optimize individual sparse kernels separately. However, this approach leads to synchronization overheads and load imbalance due to the irregular dependence patterns of sparse kernels, as well as inefficient cache usage due to their irregular memory access patterns. Sparse fusion uses a novel inspection strategy and code transformation to generate parallel fused code optimized for data locality and load balance. Sparse fusion outperforms the best of unfused implementations using ParSy and MKL by an average of 4.2× and is faster than the best of fused implementations using existing scheduling algorithms, such as LBC, DAGP, and wavefront by an average of 4× for various kernel combinations. © 2023 ACM.

关键词： Scheduling algorithms

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Textureness-Aware Neural Network for Edge Detection 7th

Textureness-Aware Neural Network for Edge Detection

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7th Chinese conference on Pattern Recognition and computer Vision

作者： Yang, Xi Cheng, Liangfei Yuan, Guowu Wu, Hao Yunnan Univ Kunming 650000 Yunnan Peoples R China

ISBN: (纸本)9789819785049;9789819785056

Convolutional neural networks have made significant progress in edge detection by progressively exploring the context and semantic features. However, most methods struggle to produce pixel-accurate edge maps and suffer from false positives in the high-frequency texture regions of non-edge part. In this paper, We propose a new edge detection method that aims to adjust the model's focus on different pixels in the non-edge area based on textureness and enhance the accuracy of edge detection. Specifically, we first propose a weighting strategy based on textureness and obtain a textureness-aware loss RWCE, which can guide the model to pay more attention to the learning of high-frequency texture regions during the training process, thus improving the prediction accuracy of these regions. Moreover, we design an end-to-end network which adopts the bottom-up/top-down architecture, effectively utilizing hierarchical features, progressively increasing the resolution of feature maps, and ultimately generating pixel-accurate edge maps. Our method achieves promising performance on BSDS500, BIPED, NYUD, and outperforming most previous methods. The source code of this work is available at: https://***/yx-yyds/TANet.

关键词： Edge detection False positives Textureness high-frequency texture regions

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Analysis of Social Networks of Students' Learning with a Focus on Their performance 14

Analysis of Social Networks of Students' Learning with a Foc...

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14th International conference on computer Supported Education (CSEDU)

作者： Moura, Waldir Siqueira da Silva, Monica Ferreira Sampaio Guimardes de Souza, Jonice de Oliveira Souza, Taina Univ Fed Rio de Janeiro Comp Sci Grad Program PPGI CCMN NCE Bloco E BR-68530 Rio De Janeiro Brazil

ISBN: (纸本)9789897585623

The low performance of students in high school is a problem that has had considerable growth due to the constant transformations generated by the current pandemic. The formation of groups to develop collaborative work in the classroom is a rich tool that can effectively develop Collective Knowledge, provided there is planning. Furthermore, through the analysis carried out, we realised that the way the learning occurs affects the students' performance and can be reorganised by the teachers to enable a better group (and even individual) development within the group.

关键词： Analysis of Social Networks School performance Method

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