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

4,025 篇 会议
43 篇 期刊文献
17 册 图书

馆藏范围

4,085 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,144 篇 工学
- 2,002 篇 计算机科学与技术...
- 1,007 篇 软件工程
- 406 篇 电气工程
- 332 篇 信息与通信工程
- 205 篇 电子科学与技术（可...
- 126 篇 控制科学与工程
- 82 篇 动力工程及工程热...
- 80 篇 生物工程
- 50 篇 生物医学工程（可授...
- 45 篇 机械工程
- 45 篇 光学工程
- 38 篇 网络空间安全
- 34 篇 仪器科学与技术
- 28 篇 安全科学与工程
- 27 篇 建筑学
- 26 篇 交通运输工程
- 24 篇 土木工程
589 篇 理学
- 400 篇 数学
- 93 篇 物理学
- 90 篇 生物学
- 78 篇 统计学（可授理学、...
- 61 篇 系统科学
- 35 篇 化学
369 篇 管理学
- 267 篇 管理科学与工程(可...
- 163 篇 工商管理
- 124 篇 图书情报与档案管...
50 篇 医学
- 40 篇 临床医学
- 18 篇 基础医学(可授医学...
41 篇 经济学
- 41 篇 应用经济学
32 篇 法学
- 30 篇 社会学
15 篇 农学
10 篇 教育学
4 篇 文学
1 篇 军事学

主题

949 篇 computer archite...
340 篇 hardware
313 篇 high performance...
278 篇 computational mo...
216 篇 concurrent compu...
200 篇 application soft...
197 篇 computer science
193 篇 parallel process...
176 篇 distributed comp...
159 篇 costs
158 篇 grid computing
150 篇 bandwidth
150 篇 resource managem...
144 篇 cloud computing
143 篇 delay
122 篇 graphics process...
122 篇 field programmab...
121 篇 throughput
119 篇 computer network...
113 篇 processor schedu...

机构

19 篇 college of compu...
18 篇 college of compu...
16 篇 school of comput...
15 篇 college of compu...
15 篇 university of ch...
15 篇 institute of com...
10 篇 ibm thomas j. wa...
10 篇 school of comput...
9 篇 school of comput...
9 篇 school of comput...
9 篇 oak ridge nation...
9 篇 carnegie mellon ...
9 篇 mathematics and ...
9 篇 college of compu...
8 篇 department of co...
8 篇 school of comput...
8 篇 college of infor...
8 篇 barcelona superc...
8 篇 intel corp santa...
8 篇 college of compu...

作者

14 篇 navaux philippe ...
11 篇 panda dhabaleswa...
10 篇 dongarra jack
8 篇 borin edson
8 篇 li peng
8 篇 chong frederic t...
8 篇 loh gabriel h.
8 篇 guedes dorgival
8 篇 mutlu onur
8 篇 i. foster
8 篇 d.k. panda
7 篇 bing guo
7 篇 xie yuan
7 篇 w.j. dally
7 篇 araujo guido
7 篇 gabriel h. loh
7 篇 guo bing
7 篇 ferreira renato
7 篇 prasanna viktor ...
6 篇 zomaya albert y.

语言

4,054 篇 英文
24 篇 其他
13 篇 中文
1 篇 葡萄牙文

检索条件"任意字段=20th International Symposium on Computer Architecture and High Performance Computing"

共 4085 条记录，以下是101-110 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：

RTA: an Efficient SIMD architecture for Ray Tracing 24

RTA: an Efficient SIMD Architecture for Ray Tracing

引用

24th IEEE international Conference on high performance computing and Communications, 8th IEEE international Conference on Data Science and Systems, 20th IEEE international Conference on Smart City and 8th IEEE international Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Yan, Run Huang, Libo Guo, Hui Lu, Yashuai Yang, Ling Xiao, Nong Shen, Li Wang, Yongwen School of Computer National University of Defense Technology Changsha China Huawei 2012 Labs Beijing China

ISBN: (纸本)9798350319934

In recent years, real-time ray tracing has attracted considerable attention with the increasing demand for photo-realistic graphics and rapid advances in CPUs/GPUs. However, efficient hardware architecture is challenging due to branches and high computation intensity for ray tracing. In this paper, we present a novel ray tracing hardware architecture called RTA (Ray Tracing Accelerator) to improve hardware efficiency. RTA has two key features: 1) an area-efficient T&I pipeline adopts three optimization strategies;2) the configuration of two Ray Traversal units has the highest ray tracing efficiency. Combined with these, we implement our system at RTL level with agile chip development. Experimental results demonstrate that RTA's performance achieves 2.83× higher than other academic and commercial architectures in a similar area. © 2022 IEEE.

关键词： Ray tracing

来源：评论

学校读者我要写书评

暂无评论

Fast Memory Disaggregation with SwiftSwap 20th

Fast Memory Disaggregation with SwiftSwap

引用

20th IFIP WG 10.3 international Conference on Network and Parallel computing, NPC 2024

作者： Zhang, Xiangwei Wang, Desheng Zhang, Weizhe Yu, Zhiji Hao, Meng School of Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518055 China School of Cyberspace Science Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9789819628292

With the continuous evolution of cloud computing technology, the memory requirements of cloud servers are increasing. Insufficient memory has become the performance bottleneck of many applications. Memory disaggregation has been proposed to solve this problem, which enables computing nodes to utilize the memory of remote memory nodes, thus not only effectively extending the capacity of logical memory, but also significantly improving the resource utilization and elasticity of the whole cluster, providing a more flexible resource allocation scheme for large-scale parallel computing and data processing. However, most of the existing memory disaggregation systems require modification of hardware, operating systems or applications, which are difficult to use. this paper proposes a high-performance memory disaggregation system SwiftSwap, which can directly access remote memory without any modification of hardware, operating system, or application. We design and implement a high performance cache, cache lookup algorithm LDA and cache elimination strategy RM_AwareLRU on the computing node to improve the performance of the system. through comprehensive evaluation, SwiftSwap has up to 5.1× performance advantage in throughput, 4.8× performance advantage in tail delay, and 6.4× performance advantage against applications running in containers. © IFIP international Federation for Information Processing 2025.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Effects of Genetic Operators on Neural architecture Search Using Multi-Objective Genetic Algorithm 20

Effects of Genetic Operators on Neural Architecture Search U...

引用

20th international Joint Conference on computer Science and Software Engineering, JCSSE 2023

作者： Patcharabumrung, Praiwan Jewajinda, Yutana Praditwong, Kata Silpakorn University Faculty of Engineering and Industrial Technology Department of Electrical Engineering Nakhon Pathom Thailand Silpakorn University Faculty of Science Department of Computing Nakhon Pathom Thailand

ISBN: (纸本)9798350300505

this paper presents the effects of crossover and mutation operators on neural architecture search using a multi-objective genetic algorithm. the proposed algorithm employs a dual population approach with non-dominated sorting, namely, elite, and mixed population, to increase the diversity of the search. To evaluate the effect of genetic operators, we use a simple layer-based encoding for VGG-like convolution neural network models that resemble the model. We also present the effects of the initialized populations' diversity on the solutions' quality with three types of genetic operators: crossover, mutation, and crossover with a mutation in two groups of experiments initialized with low and high diversity. the experimental results are reported on the Cifar-10 dataset and compared to the state-of-the-art approach. © 2023 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Near-Stream computing: General and Transparent Near-Cache Acceleration 28

Near-Stream Computing: General and Transparent Near-Cache Ac...

引用

28th Annual IEEE international symposium on high-performance computer architecture (HPCA)

作者： Wang, Zhengrong Weng, Jian Liu, Sihao Nowatzki, Tony Univ Calif Los Angeles Los Angeles CA 90095 USA

ISBN: (纸本)9781665420273

Data movement and communication have become the primary bottlenecks in large multicore systems. the near-data computing paradigm provides a solution: move computation to where the data resides on-chip. Two challenges keep near-data computing from the mainstream: lack of programmer transparency and applicability. Programmer transparency requires providing sequential memory semantics with distributed computation, which requires burdensome coordination. Broad applicability requires support for combinations of address patterns (e.g. affine, indirect, multi-operand) and computation types (loads, stores, reductions, atomics). We find that streams - coarse grain memory access patterns - are a powerful ISA abstraction for near data offloading. Tracking data access at stream-granularity heavily reduces the burden of coordination for providing sequential semantics. Decomposing the problem using streams means that arbitrary combinations of address and computation patterns can be combined for broad generality. With this insight, we develop a paradigm called near-stream computing, comprising a compiler, CPU ISA extension, and a microarchitecture that facilitate programmer transparent computation offloading to shared caches. We evaluate our system on OpenMP kernels that stress broad addressing and compute behavior, and find that 46% of dynamic instructions can be offloaded to remote banks, reducing the network traffic by 76%. Overall it achieves 2.13x speedup over a state-of-the-art near-data computing technique, with a 1.90x energy efficiency gain.

关键词： Stream-Based ISAs Programmer-Transparent Acceleration Near-Data computing

来源：评论

学校读者我要写书评

暂无评论

swDarknet: A Heterogeneous Parallel Deep Learning Framework Suitable for SW26010 Pro Processor 20th

swDarknet: A Heterogeneous Parallel Deep Learning Framework ...

引用

20th IFIP WG 10.3 international Conference on Network and Parallel computing, NPC 2024

作者： Liu, Huazeng Tian, Min Wu, Xiaoming Yang, Meihong Ren, Zenghui Li, Yanlong Jinan China Jinan Key Laboratory of High Performance Computing Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (纸本)9789819628292

As the size of AI models grows dramatically to achieve higher accuracy, more and more models are trained on supercomputers with massive computing and memory. However, it is still challenging to accelerate deep learning applications on supercomputer systems with many-core architectures. In this paper, we propose swDarknet: a Darknet-based heterogeneous parallel deep learning framework on the SW26010 Pro processor. First, We designed three heterogeneous parallel DNN layers: adaptive block-splitting strategy for matrix-multiplication layer, optimized memory access for convolutional layer, and block-based parallel pooling layer. Second, we proposed a model averaging (MA) method to efficiently scale swDarknet across many processors. Finally, we evaluated the performance of swDarknet on a core group. As compared with darknet, the convolutional layers achieved an average speedup of 32x. When training AlexNet and VGG-16, swDarknet can achieve up to 36.79× and 181.35× speedup, respectively. © IFIP international Federation for Information Processing 2025.

关键词： Supercomputers

来源：评论

学校读者我要写书评

暂无评论

the Implementation of Civil IoT architecture 13

The Implementation of Civil IoT Architecture

引用

2023 13th international Workshop on computer Science and Engineering, WCSE 2023

作者： Chen, Wei-Yu Sun, Chen-Kai Yu, Hui-Hung National Center for High-Performance Computing Taiwan

ISBN: (纸本)9789811879500

Billions of interconnected Internet-of-things (IoT) devices collect huge amounts of real-time data. However, this massive stream of data presents technical challenges for processing and analysis and the digital gap between urban and rural areas is also a critical consideration. A powerful platform is crucial to cost-effectively and efficiently process such massive collections of messages. this work introduces the civil IoT architecture in Taiwan including the dedicated B20 spectrum, backbone network facilities, and a scalable data platform. the proposed system operates in Taiwan for IoT applications with real cases. In the experiment, we demonstrate the performance of signal coverage, throughput, real-time query and visualization, and a monitoring mechanism. the results showed that the presented architecture is efficient and effective for dealing with IoT scenarios in a cost-effective approach. © WCSE *** rights reserved.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

ETTE: Efficient Tensor-Train-based computing Engine for Deep Neural Networks 23

ETTE: Efficient Tensor-Train-based Computing Engine for Deep...

引用

50th Annual international symposium on computer architecture (ISCA)

作者： Gong, Yu Yin, Miao Huang, Lingyi Xiao, Jinqi Sui, Yang Deng, Chunhua Yuan, Bo Rutgers State Univ New Brunswick NJ 08901 USA ScaleFlux Inc Milpitas CA USA

ISBN: (纸本)9798400700958

Tensor-train (TT) decomposition enables ultra-high compression ratio, making the deep neural network (DNN) accelerators based on this method very attractive. TIE, the state-of-the-art TT based DNN accelerator, achieved high performance by leveraging a compact inference scheme to remove unnecessary computations and memory access. However, TIE increases memory costs for stage-wise intermediate results and additional intra-layer data transfer, leading to limited speedups even the models are highly compressed. To unleash the full potential of TT decomposition, this paper proposes ETTE, an algorithm and hardware co-optimization framework for Efficient Tensor-Train Engine. At the algorithm level, ETTE proposes new tensor core construction and computation ordering mechanism to reduce stage-wise computation and storage cost at the same time. At the hardware level, ETTE proposes a lookahead-style across-stage processing scheme to eliminate the unnecessary stage-wise data movement. By fully leveraging the decoupled input and output dimension factors, ETTE develops an efficient low-cost memory partition-free access scheme to efficiently support the desired matrix transformation. We demonstrate the effectiveness of ETTE via implementing a 16PE hardware prototype with CMOS 28nm technology. Compared with GPU on various workloads, ETTE achieves 6.5x - 253.1x higher throughput and 189.2x - 9750.5x higher energy efficiency. Compared with the state-of-the-art DNN accelerators, ETTE brings 1.1x - 58.3x, 2.6x - 1170.4x and 1.8x - 2098.2x improvement on throughput, energy efficiency and area efficiency, respectively.

关键词： tensor decomposition neural networks low rank accelerator

来源：评论

学校读者我要写书评

暂无评论

A Survey of Deep learning in Advancing Steel Industry Standards 20

A Survey of Deep learning in Advancing Steel Industry Standa...

引用

20th CSI international symposium on Artificial Intelligence and Signal Processing, AISP 2024

作者： Aghapanah, Hamed Rad, Ali Saeeidi Rasti, Reza Isfahan University of Medical Sciences School of Advanced Technologies in Medicine Department of Bioelectrics and Biomedical Engineering Isfahan Iran University of Isfahan Faculty of Engineering Department of Biomedical Engineering Isfahan Iran

ISBN: (纸本)9798350383942

the global significance of the steel industry as an economic cornerstone cannot be overstated, with its pivotal role in construction, automotive manufacturing, and pipe production. this paper investigates the transformative influence of deep learning, encompassing machine vision and artificial intelligence, on elevating performance standards within the steel industry. the industry's critical contribution to manufacturing building materials, automotive components, and high-value energy and fluid transmission pipes underscores the need for continuous technological evolution. Machine vision and artificial intelligence have emerged as pivotal catalysts in the pursuit of precision data analysis and enhanced industrial performance. this research explores the escalating importance of these technologies, elucidating their substantial impact on refining industrial processes within the steel sector. Recognized as powerful instruments for progression and optimization, machine vision and artificial intelligence contribute significantly to the industry's technological landscape. this study comprehensively reviews pertinent articles to delve into the myriad applications of machine vision and artificial intelligence in the steel industry. By scrutinizing the latest developments and applications, the paper aims to provide a thorough understanding of how these technologies are actively shaping the industry's landscape. the findings underscore the instrumental role of deep learning in augmenting efficiency, fostering innovation, and ultimately advancing the standards of the steel industry on a global scale. © 2024 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

MISA-MD: A New Design of Molecular Dynamics Software for GPU architecture 24

MISA-MD: A New Design of Molecular Dynamics Software for GPU...

引用

作者： Chu, Genshen Chen, Tianyi Chen, Dandan Bai, He Li, Guannan Ren, Shuai Li, Yang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Beijing Research Center Zhejiang Lab Beijing China

ISBN: (纸本)9798350319934

Molecular dynamics is a significant method in computational material and many other fields, and is computationally intensive. In this paper, we present a new molecular dynamics software, MISA-MD, which is mainly designed for high computational performance on GPU architecture. the main contributions include a redesign of the atom data structure, communication optimizations, parallel strategies and a series of GPU optimizations on memory accessing. Compared to the CPU version, the presented version of MISA-MD can achieve more than 130 speedup when running on GPU hardware. Moreover, our MISAMD code also demonstrates 51 % performance improvement, when compared to the well-known software LAMMPS on GPU. © 2022 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

SUCP Analysis for Region-Centric UAV-Assisted MEC Networks 20th

SUCP Analysis for Region-Centric UAV-Assisted MEC Networks

引用

20th IFIP WG 10.3 international Conference on Network and Parallel computing, NPC 2024

作者： Li, Yan Yi, Zhaozhi Long, Qingmin Luo, Lailong Guo, Deke School of Computer and Communication Engineering Changsha University of Science and Technology Changsha410004 China National Key Laboratory of Information Systems Engineering National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789819628636

With the increase of computing-intensive and delay-sensitive applications, mobile edge computing (MEC) technology has sprung up. It effectively satisfies the needs of user equipment (UE) for real-time computing resources by placing servers at the edge of the network. However, traditional MEC infrastructures are constrained by their fixed locations and emergency mobility needs. Unmanned aerial vehicles (UAVs) offer an effective solution with low cost, high mobility, and flexible deployment capabilities. In this paper, we propose a region-centric UAV-assisted MEC model, where the whole network space is divided into a set of hexagonal cells of equal area, and all UAVs in the same cell jointly process UE offloading data. Assume all UAVs are assumed to be equipped with independent MEC servers, and both UAVs and terrestrial UE follow independent homogeneous Poisson point process (PPP) distributions. Using the stochastic geometry analysis framework, we derive the successful uplink communication probability (SUCP) of uplink transmission for users. Finally, we compare the simulation results with the theoretical values to verify the model’s accuracy and evaluate the influence of key performance parameters on the network performance. © IFIP international Federation for Information Processing 2025.

关键词： Stochastic systems

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409页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：