检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

10,058 篇 会议
276 篇 期刊文献
36 册 图书
2 篇 科技报告

馆藏范围

10,372 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,280 篇 工学
- 5,756 篇 计算机科学与技术...
- 3,610 篇 软件工程
- 1,367 篇 信息与通信工程
- 1,287 篇 电气工程
- 909 篇 控制科学与工程
- 831 篇 电子科学与技术（可...
- 465 篇 机械工程
- 462 篇 生物工程
- 387 篇 光学工程
- 370 篇 动力工程及工程热...
- 364 篇 生物医学工程（可授...
- 290 篇 仪器科学与技术
- 261 篇 化学工程与技术
- 239 篇 交通运输工程
- 232 篇 网络空间安全
- 205 篇 材料科学与工程（可...
- 187 篇 土木工程
- 184 篇 安全科学与工程
- 183 篇 建筑学
2,754 篇 理学
- 1,405 篇 数学
- 872 篇 物理学
- 503 篇 生物学
- 358 篇 统计学（可授理学、...
- 345 篇 化学
- 240 篇 系统科学
1,334 篇 管理学
- 820 篇 管理科学与工程(可...
- 630 篇 图书情报与档案管...
- 365 篇 工商管理
445 篇 医学
- 346 篇 临床医学
- 192 篇 基础医学(可授医学...
184 篇 教育学
141 篇 法学
124 篇 经济学
48 篇 农学
41 篇 军事学
31 篇 文学
10 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

1,025 篇 program processo...
727 篇 computer archite...
418 篇 computational mo...
384 篇 hardware
343 篇 high performance...
260 篇 parallel process...
238 篇 computer science
192 篇 optimization
171 篇 benchmark testin...
164 篇 concurrent compu...
163 篇 application soft...
159 篇 runtime
156 篇 computer vision
149 篇 bandwidth
129 篇 registers
129 篇 libraries
129 篇 deep learning
122 篇 parallel program...
120 篇 scalability
120 篇 throughput

机构

69 篇 college of compu...
57 篇 school of comput...
55 篇 university of ch...
44 篇 school of comput...
33 篇 department of co...
32 篇 college of compu...
31 篇 univ chinese aca...
30 篇 school of comput...
30 篇 tsinghua univers...
27 篇 school of comput...
25 篇 school of data a...
23 篇 college of compu...
23 篇 computer network...
23 篇 high energy astr...
22 篇 graduate school ...
21 篇 graduate school ...
21 篇 college of compu...
20 篇 center for astro...
20 篇 department of ph...
20 篇 department of ph...

作者

25 篇 tokuno h.
24 篇 ikeda d.
23 篇 belz j.w.
22 篇 jui c.c.h.
22 篇 oshima a.
22 篇 tsuda r.
22 篇 kim j.h.
22 篇 bergman d.r.
22 篇 allen m.
22 篇 matsuyama t.
22 篇 wong t.
22 篇 ishii t.
22 篇 kim s.w.
22 篇 takamura m.
22 篇 yashiro k.
22 篇 kadota k.
22 篇 mayta r.
22 篇 ozawa s.
22 篇 kasami s.
22 篇 rodriguez d.c.

语言

9,909 篇 英文
422 篇 其他
53 篇 中文
3 篇 西班牙文
2 篇 土耳其文
1 篇 葡萄牙文

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

共 10372 条记录，以下是391-400 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Recognizing Binary Code Semantics Towards Achieving Software Segmentation 36

Recognizing Binary Code Semantics Towards Achieving Software...

引用

36th IEEE International conference on Tools with Artificial Intelligence, ICTAI 2024

作者： Alexiou, Michail Ryu, Zeezoo Abawe, Grace Mertoguno, Sukarno J. Kennesaw State University Department of Computer Science MariettaGA United States School of Cybersecurity and Privacy Georgia Institute of Technology AtlantaGA United States Yale University Department of Computer Science New HavenCT United States

ISBN: (纸本)9798331527235

Continuous advancements in hardware capabilities and programming paradigms have enabled the progress of high-performance computing. The demand to adapt legacy codes, originally designed for earlier generations of computers, to the requirements of modern ones has spurred the development of code distillation techniques. These techniques are specifically designed to improve the performance and security of existing legacy software. However, the majority of legacy software is available only as binary executables, thus, creating difficulties in sustaining or updating them. This challenge necessitates specialized tools for binary analysis to extract key attributes that ensure the accurate translation of legacy software into optimized and secure versions, while preserving its original functionality. In this paper, a methodology named Spotlight is introduced for the identification of program semantics within binary code to facilitate precise distillation and translation. Spotlight operates on the Control-Flow graph representation of binary programs. It leverages a region-growing approach in conjunction with Graph Neural Networks to identify neighborhoods of basic blocks exhibiting attributes of (i) specific functionalities or (ii) parallelism. The present study is focused on four computational functionalities: (a) matrix multiplication, (b) breadth-first search, (c) sorting, and (d) K-means clustering. The evaluation results highlight Spotlight's effectiveness, demonstrating over 90 % accuracy in detecting the relevant computational functionality and identifying parallelism, both within and across different functionalities. © 2024 IEEE.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications 24

Co-Designing NVM-based Systems for Machine Learning and In-m...

引用

43rd International conference on computer-Aided Design, ICCAD 2024

作者： Henkel, Jörg Siddhu, Lokesh Nassar, Hassan Bauer, Lars Chen, Jian-Jia Hakert, Christian Seidl, Tristan Chen, Kuan Hsun Hu, Xiaobo Sharon Li, Mengyuan Yang, Chia-Lin Wei, Ming-Liang Karlsruhe Institute of Technology Germany TU Dortmund Germany University of Twente Netherlands University of Notre Dame IN United States National Taiwan University Taiwan

ISBN: (纸本)9798400710773

With the rapid development of the Internet of Things, machine learning applications on edge devices with limited resources face challenges due to large data scales and irregular memory access patterns. Non-volatile memory (NVM) technologies provide promising solutions by offering larger capacity, low leakage power, and data persistence. In this paper, we discuss the potential of NVM technology in enhancing machine learning applications by improving energy efficiency and reducing latency through in-memory computation and different NVM write modes. The insights from this analysis provide valuable guidance to device researchers and system architects working to develop high-performance systems for machine learning and accelerators in large-scale search applications using NVMs. © 2024 Copyright is held by the owner/author(s).

关键词： computer aided instruction

来源：评论

学校读者我要写书评

暂无评论

CPU Architecture Modelling and Co-design 38th

CPU Architecture Modelling and Co-design

引用

38th International conference on high performance Computing, ISC high performance 2023

作者： Brank, Bine Pleiter, Dirk Microsoft Munich Germany Division of Computational Science and Technology KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9783031320408

Co-design has become an established process for both developing high-performance computing (HPC) architectures (and, more specifically, CPU architectures) as well as HPC applications. The co-design process is frequently based on models. This paper discusses an approach to CPU architecture modelling and its relation to modelling theory. The approach is implemented using the gem5 simulator for Arm-based CPU architectures and applied for the purpose of generating co-design knowledge using two applications that are widely used on HPC systems. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： computer architecture

来源：评论

学校读者我要写书评

暂无评论

M-DFCPP: A runtime library for multi-machine dataflow computing

M-DFCPP: A runtime library for multi-machine dataflow comput...

引用

作者： Luo, Qiuming Liu, Senhong Huang, Jinke Li, Jinrong College of Computer Science and Software Engineering Shenzhen University Shenzhen China SKT Group Guangdong Province Key Laboratory of Popular High-Performance Computers Shenzhen China SKT Group Guangdong Province Engineering Center of China-made High Performance Data Computing System Shenzhen China

This article designs and implements a runtime library for general dataflow programming, DFCPP (Luo Q, Huang J, Li J, Du Z. Proceedings of the 52nd International conference on Parallel Processing Workshops. ACM;2023:145-152.), and builds upon it to design and implement a multi-machine C++ dataflow library, M-DFCPP. In comparison to existing dataflow programming environments, DFCPP features a user-friendly interface and richer expressive capabilities (Luo Q, Huang J, Li J, Du Z. Proceedings of the 52nd International conference on Parallel Processing Workshops. ACM;2023:145-152.), enabling the representation of various types of dataflow actor tasks (static, dynamic and conditional task). Besides that, DFCPP addresses the memory management and task scheduling for non-uniform memory access architectures, while other dataflow libraries lack attention to these issues. M-DFCPP extends the capability of current dataflow runtime libraries (DFCPP, taskflow, openstream, etc.) and capable of multi-machine computing, while maintains the API compatible with DFCPP. M-DFCPP adopts the concepts of master and follower (Dean J, Ghemawat S. Commun ACM. 2008;51(1):107-113;Ghemawat S, Gobioff H, Leung ST. ACM SIGOPS Operating Systems Review. ACM;2003:29-43.), which form a worksharing framework as many multi-machine system. To shift to the M-DFCPP framework, a filtering layer is inserted to the original DFCPP, transforming it into followers that can cooperate with each other. The master is made of modules for scheduling, data processing, graph partition, state management and so forth. In benchmark tests with workload with directed acyclic graph topology of binary trees and random graphs, DFCPP demonstrated performance improvements of 20% and 8%, respectively, compared to the second fastest library. M-DFCPP consistently exhibits outstanding performance across varying levels of concurrency and task workloads, achieving a maximum speedup of more than 20 over DFCPP, when the task parallelism e

关键词： Libraries

来源：评论

学校读者我要写书评

暂无评论

Automated Test Case Generation for Prime Path Coverage with Jaya Algorithm 14

Automated Test Case Generation for Prime Path Coverage with ...

引用

14th International conference on Information and Knowledge Technology, IKT 2023

作者： Yadegari, Saba Keyvanpour, Mohammad-Reza Alzahra University Data Mining Laboratory Department of Computer Engineering Tehran Iran Alzahra University Faculty of Engineering Department of Computer Engineering Tehran Iran

ISBN: (纸本)9798350349412

Automatic test case generation is critical in software testing because it can significantly reduce testing time and cost while improving the software's overall quality. One of the critical objectives of test case generation is to improve the coverage of the program, with a focus on achieving a high prime path coverage. In this paper, we suggest a self-Adaptive Jaya algorithm for generating test cases that achieve a high coverage of prime paths in software. We conducted a comparative study against a well-established, state-of-The-Art approach utilizing eleven Java benchmark programs to evaluate its performance. Our results show that the suggested method achieves a higher average coverage of prime paths than the existing approach. © 2023 IEEE.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

UFO-MAC: A Unified Framework for Optimization of high-performance Multipliers and Multiply-Accumulators 24

UFO-MAC: A Unified Framework for Optimization of High-Perfor...

引用

43rd International conference on computer-Aided Design, ICCAD 2024

作者： Zuo, Dongsheng Zhu, Jiadong Li, Chenglin Ma, Yuzhe Microelectronics Thrust The Hong Kong University of Science and Technology Guangzhou China

ISBN: (纸本)9798400710773

Multipliers and multiply-accumulators (MACs) are critical arithmetic circuit components in the modern era. As essential components of AI accelerators, they significantly influence the area and performance of compute-intensive circuits. This paper presents UFO MAC, a unified framework for the optimization of multipliers and MACs. Specifically, UFO-MAC employs an optimal compressor tree structure and utilizes integer linear programming (ILP) to refine the stage assignment and interconnection of the compressors. Additionally, it explicitly exploits the non-uniform arrival time profile of the carry propagate adder (CPA) within multipliers to achieve targeted optimization. Moreover, the framework also supports the optimization of fused MAC architectures. Experimental results demonstrate that multipliers and MACs optimized by UFO-MAC Pareto-dominate state-of-the-art baselines and commercial IP libraries. The performance gain of UFO-MAC is further validated through the implementation of multipliers and MACs within functional modules, underlining its efficacy in real scenarios. © 2024 Copyright is held by the owner/author(s).

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

On Improving Cross-dataset Generalization of Deepfake Detectors

On Improving Cross-dataset Generalization of Deepfake Detect...

引用

IEEE/CVF conference on computer Vision and Pattern Recognition (CVPR)

作者： Nadimpalli, Aakash Varma Rattani, Ajita Wichita State Univ Sch Comp Wichita KS 67260 USA

ISBN: (数字)9781665487399

ISBN: (纸本)9781665487399

Facial manipulation by deep fake has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deep fake detection methods have been proposed recently. Most of them model deep fake detection as a binary classification problem using a backbone convolutional neural network (CNN) architecture pretrained for the task. These CNN-based methods have demonstrated very high efficacy in deep fake detection with the Area under the Curve (AUC) as high as 0.99. However, the performance of these methods degrades significantly when evaluated across datasets. In this paper, we formulate deep fake detection as a hybrid combination of supervised and reinforcement learning (RL) to improve its cross-dataset generalization performance. The proposed method chooses the top-k augmentations for each test sample by an RL agent in an image-specific manner. The classification scores, obtained using CNN, of all the augmentations of each test image are averaged together for final real or fake classification. Through extensive experimental validation, we demonstrate the superiority of our method over existing published research in cross-dataset generalization of deep fake detectors, thus obtaining state-of-the-art performance.

关键词： Deepfakes computer vision conferences Detectors Reinforcement learning computer architecture Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

EEG Data Augmentation for Emotion Recognition Using Diffusion Model 46

EEG Data Augmentation for Emotion Recognition Using Diffusio...

引用

46th Annual International conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Zhao, Yi-Dong Liu, Yan-Kai Zheng, Wei-Long Lu, Bao-Liang Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai China Shanghai Jiao Tong University School of Medicine RuiJin-Mihoyo Laboratory Clinical Neuroscience Center RuiJin Hospital China

ISBN: (纸本)9798350371499

Electroencephalogram (EEG) signals are playing an increasingly important role in affective computing, especially in emotion recognition. However, the process of collecting EEG signals is very complex, requiring subjects to conduct long-term experiments under ideal conditions, which has high requirements for both the subjects and the experimental environment. Therefore, how to quickly obtain a large number of high-quality EEG signals has become an issue. In recent years, the success of diffusion models in the field of image generation has attracted a large number of researchers' interest. Compared to traditional generative models, diffusion models have excellent properties such as better generation performance and a more stable training process. In this paper, we apply diffusion models to emotion recognition tasks for the first time. We optimize the sampling stage of the diffusion model to make it more suitable for generating high-quality EEG signals, and then enhance the original EEG signals and apply them to emotion recognition tasks. Additionally, we explore the impact of the quantity of generated data on task performance. We use three datasets in the experiment, SEED, SEED-IV, and DEAP datasets. The experimental results indicate that our data augmentation method can significantly improve emotion recognition. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores 23

VENOM: A Vectorized N:M Format for Unleashing the Power of S...

引用

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

作者： Castro, Roberto L. Ivanov, Andrei Andrade, Diego Ben-Nun, Tal Fraguela, Basilio B. Hoefler, Torsten CITIC Universidade da Coruña A Coruña Spain Department of Computer Science ETH Zürich Zürich Switzerland

ISBN: (纸本)9798400701092

The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated hardware is becoming available. However, exploiting it efficiently requires kernel implementations, pruning algorithms, and storage formats, to utilize hardware support of specialized sparse vector units. An example of those are the NVIDIA's Sparse Tensor Cores (SPTCs), which promise a 2× speedup. However, SPTCs only support the 2:4 format, limiting achievable sparsity ratios to 50%. We present the V:N:M format, which enables the execution of arbitrary N:M ratios on SPTCs. To efficiently exploit the resulting format, we propose Spatha, a high-performance sparse-library for DL routines. We show that Spatha achieves up to 37× speedup over cuBLAS. We also demonstrate a second-order pruning technique that enables sparsification to high sparsity ratios with V:N:M and little to no loss in accuracy in modern transformers. © 2023 ACM.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Using Structural Equation Modeling to Enhance Decision-Making in Wine Tourism in the Federal District and RIDE 11

Using Structural Equation Modeling to Enhance Decision-Makin...

引用

11th International conference on Information Technology and Quantitative Management, ITQM 2024

作者： Mariano, Ari Melo Ramos Alves, Vitor João Souza, Carolina de Moraes Palhares, Carolina Menezes dos Santos, Alessandra Santos Felix Souza, João Carlos Longen Zindel, Marcia Terezinha Department of Production Engineering University of Brasília Brazil Department of Computer Science University of Brasilia Brazil DataLab-Laborório de Dados University of Brasilia Brazil CET- Center of Excellence in Tourism University of Brasilia Brazil Instituto de Pesquisa Econômica Aplicada - DF IPEA Brazil

The Federal District and RIDE region is emerging as a new wine tourism destination in Brazil. Wine tourism offers opportunities for modernization at economic, social, and cultural levels. It is important to understand the most relevant experiences and the level of satisfaction among wine tourists to plan and structure the sector effectively in the region. This research aimed to present a roadmap to enhance the satisfaction and experience of wine tourists. Researchers conducted an exploratory study using structural equations with a quantitative approach involving 67 wine tourists. The findings indicate that quality of service accounts for 43.82% of tourist satisfaction, making it the most critical aspect of the wine tourism experience. Consequently, the study produced a roadmap based on the importance and performance matrix, outlining strategies to enhance service quality perceptions through high-quality wines during tastings, memorable tour experiences, and staff friendliness. © 2024 The Authors.

关键词： Wine

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 36 37 38 39 40 41 42 43 44 45 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：