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

10,079 篇 会议
276 篇 期刊文献
37 册 图书
2 篇 科技报告

馆藏范围

10,394 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,296 篇 工学
- 5,761 篇 计算机科学与技术...
- 3,645 篇 软件工程
- 1,369 篇 信息与通信工程
- 1,289 篇 电气工程
- 878 篇 控制科学与工程
- 829 篇 电子科学与技术（可...
- 465 篇 机械工程
- 463 篇 生物工程
- 392 篇 光学工程
- 372 篇 动力工程及工程热...
- 365 篇 生物医学工程（可授...
- 289 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
- 231 篇 网络空间安全
- 206 篇 材料科学与工程（可...
- 192 篇 土木工程
- 188 篇 建筑学
- 184 篇 安全科学与工程
2,762 篇 理学
- 1,412 篇 数学
- 873 篇 物理学
- 504 篇 生物学
- 363 篇 统计学（可授理学、...
- 344 篇 化学
- 240 篇 系统科学
1,336 篇 管理学
- 821 篇 管理科学与工程(可...
- 631 篇 图书情报与档案管...
- 367 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...
186 篇 教育学
143 篇 法学
126 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...
417 篇 computational mo...
384 篇 hardware
340 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
123 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...
45 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 ...
20 篇 center for astro...
20 篇 department of ph...
20 篇 department of ph...
20 篇 the graduate sch...

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

9,981 篇 英文
372 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 10394 条记录，以下是781-790 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：

Memory Space Recycling 22

Memory Space Recycling

引用

2022 ACM SIGMETRICS/IFIP performance Joint International conference on Measurement and Modeling of computer Systems, SIGMETRICS/performance 2022

作者： Ryoo, Jihyun Kandemir, Mahmut Taylan Karakoy, Mustafa The Pennsylvania State University State CollegePA United States TUBITAK-BILGEM Gebze Turkey

ISBN: (纸本)9781450391412

Many program codes from different application domains process very large amounts of data, making their data locality/cache memory behavior critical for high performance. Prior work has addressed the data locality optimization problem in the context of both single-core and multi-core systems. Another dimension of optimization, which can be as equally important/beneficial as improving data access pattern is to reduce the data volume (total number of addresses) accessed by the program code. In this work, we explore the idea of rewriting an application program code to reduce its memory space footprint. The main idea behind this approach is to reuse/recycle, for a given data element, a memory location that has originally been assigned to another data element, provided that the lifetimes of these two data elements do not overlap with each other. We present a detailed experimental evaluation of our proposed memory space recycling strategy. The experimental results show that our proposed approach brings, respectively, 33.2%, 48.6%, 46.5%, 31.8%, and 27.9% average improvements in these metrics, in the case of single-threaded applications. With the multi-threaded versions of the same applications, the achieved improvements are 39.5%, 55.5%, 53.4%, 26.2%, and 22.2%, in the same order. © 2022 Owner/Author.

关键词： multi-core processors compilers high performance computing memory systems workload characterization

来源：评论

学校读者我要写书评

暂无评论

Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization 24

Automated Nanoparticle Image Processing Pipeline for AI-Driv...

引用

33rd ACM International conference on Information and Knowledge Management (CIKM)

作者： Day, Alexandra L. Wahl, Carolin B. dos Reis, Roberto Liao, Wei-keng Dravid, Vinayak P. Choudhary, Alok Agrawal, Ankit Northwestern Univ Evanston IL 60201 USA

ISBN: (纸本)9798400704369

Recent innovations have made it possible to produce millions of distinct nanoparticles on a chip. These vast volumes of data are impossible to analyze manually, necessitating the development of automated tools. In previous work, we created a binary classification machine learning model to select quality nanoparticle images for downstream analysis. In this work, we show that adding a custom image preprocessing step before model training can produce significantly higher-performing models in a fraction of the time and make the model more robust to different image noise levels and microscope acquisition settings. The proposed image processing pipeline effectively cleans raw nanoparticle images, enhances key features, and allows us to use much lower resolution images and simpler neural network model architectures, resulting in higher performance and significant cost savings. Experiments demonstrate superior performance relative to our baseline, including a 15% improvement in recall and more than a 10% increase in accuracy. Given the high cost of downstream analysis, it is critical to minimize false positives in our application, and our best-performing model obtains a precision of 97.3% and weighted F-score of 95.9% on an unseen test set. Additionally, model training time is reduced from 15.5 hours to 32 seconds. We expect that adopting this pipeline for AI-driven automated nanoparticle characterization will offer a considerable speedup in the laboratory, allowing researchers to rapidly and accurately analyze much greater volumes of data and accelerate materials discovery.

关键词： computer Vision Machine Learning Materials Characterization

来源：评论

学校读者我要写书评

暂无评论

VFHQ: A high-Quality Dataset and Benchmark for Video Face Super-Resolution

VFHQ: A High-Quality Dataset and Benchmark for Video Face Su...

引用

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

作者： Xie, Liangbin Wang, Xintao Zhang, Honglun Dong, Chao Shan, Ying Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Comp Vis & Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Tencent PCG ARC Lab Shenzhen Peoples R China

ISBN: (数字)9781665487399

ISBN: (纸本)9781665487399

Most of the existing video face super-resolution (VFSR) methods are trained and evaluated on VoxCeleb1, which is designed specifically for speaker identification and the frames in this dataset are of low quality. As a consequence, the VFSR models trained on this dataset can not output visual-pleasing results. In this paper, we develop an automatic and scalable pipeline to collect a high-quality video face dataset (VFHQ), which contains over 16, 000 high-fidelity clips of diverse interview scenarios. To verify the necessity of VFHQ, we further conduct experiments and demonstrate that VFSR models trained on our VFHQ dataset can generate results with sharper edges and finer textures than those trained on VoxCeleb1. In addition, we show that the temporal information plays a pivotal role in eliminating video consistency issues as well as further improving visual performance. Based on VFHQ, by analyzing the benchmarking study of several state-of-the-art algorithms under bicubic and blind settings.

关键词： Training Visualization Privacy Face recognition Superresolution Pipelines Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling

Scalable and Consistent Graph Neural Networks for Distribute...

引用

2024 Workshops of the International conference for high performance Computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Barwey, Shivam Balin, Riccardo Lusch, Bethany Patel, Saumil Balakrishnan, Ramesh Pal, Pinaki Maulik, Romit Vishwanath, Venkatram Transportation and Power Systems Argonne National Laboratory United States Leadership Computing Facility Argonne National Laboratory United States Argonne National Laboratory Computational Science Division United States Pennsylvania State University Information Sciences and Technology United States Mathematics and Computer Science Argonne National Laboratory United States

ISBN: (纸本)9798350355543

This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus is on enabling scalable operations that satisfy physical consistency via halo nodes at sub-graph boundaries. Here, consistency refers to the fact that a GNN trained and evaluated on one rank (one large graph) is arithmetically equivalent to evaluations on multiple ranks (a partitioned graph). This concept is demonstrated by interfacing GNNs with NekRS, a GPU-capable exascale CFD solver developed at Argonne National Laboratory. It is shown how the NekRS mesh partitioning can be linked to the distributed GNN training and inference routines, resulting in a scalable mesh-based data-driven modeling workflow. We study the impact of consistency on the scalability of mesh-based GNNs, demonstrating efficient scaling in consistent GNNs for up to O(1B) graph nodes on the Frontier exascale supercomputer. © 2024 IEEE.

关键词： graph neural networks mesh-based modeling

来源：评论

学校读者我要写书评

暂无评论

SINR Analysis of Cell-Free Massive MIMO Systems Assisted by Intelligent Reflecting Surface 5th

SINR Analysis of Cell-Free Massive MIMO Systems Assisted by ...

引用

5th China Intelligent Robotics Academic conference

作者： Jin, Si-Nian Zhao, Shihang Song, Yu Ma, Jitong Ju, Moran Dalian Maritime Univ Dalian 116026 Peoples R China China Southern Power Grid Co Ltd Guangzhou Bur Extra High Voltage Transmiss Co Guangzhou 510663 Peoples R China

ISBN: (纸本)9789819616138;9789819616145

In 6th generation (6G) mobile networks, cell-free massive multiple-input multiple-output (MIMO) and intelligent reflecting surfaces (IRS) play a crucial role. Integrating these technologies can significantly enhance communication network performance. This paper explores cell-free massive MIMO systems augmented by IRS, where M multi-antenna base stations (BSs) communicate with K single-antenna users, aided by N IRSs with many passive reflecting elements located within the BSs' line of sight. Using the maximum ratio combined under perfect channel state information, we begin by examining the probability density function (PDF) of both the desired signal and the interference generated by other users. From these analyses, we then derive the PDF of the signal-to-interference-plus-noise ratio (SINR) for each individual user. Numerical results confirm the accuracy of the SINR PDF.

关键词： Intelligent reflecting surface cell-free massive multiple-input multiple-output SINR

来源：评论

学校读者我要写书评

暂无评论

3D Implicit Transporter for Temporally Consistent Keypoint Discovery

3D Implicit Transporter for Temporally Consistent Keypoint D...

引用

IEEE/CVF International conference on computer Vision (ICCV)

作者： Zhong, Chengliang Zheng, Yuhang Zheng, Yupeng Zhao, Hao Yi, Li Mu, Xiaodong Wang, Ling Li, Pengfei Zhou, Guyue Yang, Chao Zhang, Xinliang Zhao, Jian Xian Res Inst High Tech Xian Peoples R China Tsinghua Univ AIR Beijing Peoples R China Beihang Univ Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Tsinghua Univ IIIS Beijing Peoples R China Shanghai AI Lab Shanghai Peoples R China Inst North Elect Equipment Xian Peoples R China Intelligent Game & Decis Lab Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China

ISBN: (纸本)9798350307184

Keypoint-based representation has proven advantageous in various visual and robotic tasks. However, the existing 2D and 3D methods for detecting keypoints mainly rely on geometric consistency to achieve spatial alignment, neglecting temporal consistency. To address this issue, the Transporter method was introduced for 2D data, which reconstructs the target frame from the source frame to incorporate both spatial and temporal information. However, the direct application of the Transporter to 3D point clouds is infeasible due to their structural differences from 2D images. Thus, we propose the first 3D version of the Transporter, which leverages hybrid 3D representation, cross attention, and implicit reconstruction. We apply this new learning system on 3D articulated objects and nonrigid animals (humans and rodents) and show that learned keypoints are spatio-temporally consistent. Additionally, we propose a closed-loop control strategy that utilizes the learned keypoints for 3D object manipulation and demonstrate its superior performance. Codes are available at https://***/zhongcl-thu/3D-Implicit-Transporter.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Frequency-Guided Network for Low-contrast Staining-free Dental Plaque Segmentation

Frequency-Guided Network for Low-contrast Staining-free Dent...

引用

2024 IEEE International conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Jiang, Yiming Song, Wenfeng Li, Shuai Yang, Yuming Xia, Bin Hao, Aimin Qin, Hong Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Beijing Information Science and Technology University School of Computer Science Beijing China Peking University School and Hospital of Stomatology Department of Pediatric Dentistry Beijing China Stony Brook University Department of Computer Science New York United States

ISBN: (纸本)9798350386226

Traditional dental plaque detection relies on medical staining reagents and professional intervention. Deep learning-based automatic staining-free dental plaque segmentation provides an alternative for patients to perform plaque detection at home without staining reagents. However, existing methods still struggle with low-contrast visual features between unstained plaque and healthy teeth. To address this, we propose a Frequency-Guided Network (FGN) for low-contrast staining-free dental plaque segmentation. We observe that dental plaque tends to concentrate specifically near the junction between the teeth and the gingiva. This junction demonstrates abrupt changes in pixel values, indicating high-frequency regions in the image. In other words, dental plaque tends to appear near the high-frequency regions of oral endoscope images. Exploiting this characteristic, we employ a frequency-guided decoupling module to separate the image into high-frequency and low-frequency regions automatically and expand the high-frequency region to encompass nearby potential dental plaque. Then we supervise two regions individually to specifically focus on the expended high-frequency region for localizing nearby dental plaque. Additionally, we propose a high-to-low frequency multiple tasks framework. In the first phase, the network segments the teeth region, and then we input the teeth mask into the second phase. In the second stage, the teeth mask allows us to have a higher frequency at the junction between the teeth and gums, thereby enhancing the effectiveness of frequency-guided decoupling. Furthermore, FGN integrates a frequency-driven refinement module to enhance the guidance quality of the teeth mask for the second phase. Extensive evaluations of the oral endoscope dataset demonstrate that our method outperforms existing high-performance segmentation methods. User studies also confirm that our approach achieves superior results to experienced dentists. https://frequency-guided-netw

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Matching program Implementations and Heterogeneous Computing Systems 22nd

Matching Program Implementations and Heterogeneous Computing...

引用

22nd International conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2021)

作者： Sandrieser, Martin Benkner, Siegfried Univ Vienna Fac Comp Sci Res Grp Sci Comp Vienna Austria

ISBN: (纸本)9783030967727;9783030967710

high performance computing (HPC) systems have become highly parallel aggregations of heterogeneous system elements. Different kinds of processors, memory regions, interconnects and software resources constitute the modern HPC computing platform. This makes software development and efficient program execution a challenging task. Previously, we have developed a platform description framework for describing multiple aspects of computing platforms. It enables tools and users to better cope with the complexities of heterogeneous platforms in a programming model and system independent way. In this paper we present how our platform model can be used to describe program implementation variants that utilize different parallel programming models. We show that by matching platform models of program implementations to descriptions of a concrete heterogeneous system we can increase overall resource utilization. In addition, we show that our model featuring control relationships brings significant performance gains for finding platform patterns within a commonly used heterogeneous compute cluster configuration.

关键词： Modeling Platform Heterogeneous computing

来源：评论

学校读者我要写书评

暂无评论

PIRLLS: Pretraining with Imitation and RL Finetuning for Logic Synthesis 25

PIRLLS: Pretraining with Imitation and RL Finetuning for Log...

引用

30th Asia and South Pacific Design Automation conference, ASP-DAC 2025

作者： Dong, Guande Zhai, Jianwang Cheng, Hongtao Yang, Xiao Shi, Chuan Zhao, Kang Beijing Univ. of Posts and Telecommunications Beijing China

ISBN: (纸本)9798400706356

As a key step in digital integrated circuit (IC) design, logic synthesis involves various logic optimization algorithms, where the quality of results (QoR) depends heavily on the optimization sequence used. Exploring the optimization space is challenging as the number of potential optimal permutations grows exponentially. Traditional methods rely on manual adjustments by experts, but are difficult to deal with complex and different circuits, leading to significant optimality gaps. Many automatic methods have been introduced, but still face problems of low generalization and low *** this work, we propose PIRLLS, a two-stage learning framework for imitation learning on expert trajectories followed by reinforcement learning (RL) finetuning, to efficiently explore the optimal synthesis flows. Firstly, PIRLLS uses imitation learning to pretrain fast and high-performance intelligent policy, to fully leverage the offline knowledge of a large corpus of high-quality expert trajectories. Then, the pretrained policy is finetuned for target circuits using the proximal policy optimization (PPO) algorithm and policy distillation to obtain better results. Compared with the state-of-the-art (SOTA) method, our framework can effectively improve the quality of logic optimization and significantly speed up the exploration time. © 2025 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： computer circuits

来源：评论

学校读者我要写书评

暂无评论

Heterogeneous Space Fusion and Dual-Dimension Attention: A New Paradigm for Speech Enhancement

Heterogeneous Space Fusion and Dual-Dimension Attention: A N...

引用

2024 IEEE International conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zheng, Tao Wang, Liejun Yu, Yinfeng School of Computer Science and Technology Xinjiang University Urumqi830049 China

ISBN: (纸本)9781665410205

Self-supervised learning has demonstrated impressive performance in speech tasks, yet there remains ample opportunity for advancement in the realm of speech enhancement research. In addressing speech tasks, confining the attention mechanism solely to the temporal dimension poses limitations in effectively focusing on critical speech features. Taking into account the aforementioned issues, our study introduces a novel speech enhancement framework, HFSDA, which skillfully integrates heterogeneous spatial features and incorporates a dual-dimension attention mechanism to significantly enhance speech clarity and quality in noisy environments. By leveraging self-supervised learning embeddings in tandem with Short-Time Fourier Transform (STFT) spectrogram features, our model excels at capturing both high-level semantic information and detailed spectral data, enabling a more thorough analysis and refinement of speech signals. Furthermore, we employ the innovative Omni-dimensional Dynamic Convolution (ODConv) technology within the spectrogram input branch, enabling enhanced extraction and integration of crucial information across multiple dimensions. Additionally, we refine the Conformer model by enhancing its feature extraction capabilities not only in the temporal dimension but also across the spectral domain. Extensive experiments on the VCTK-DEMAND dataset show that HFSDA is comparable to existing state-of-the-art models, confirming the validity of our approach. © 2024 IEEE.

关键词： Self-supervised learning

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 << < 75 76 77 78 79 80 81 82 83 84 > >>

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：