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

502 篇 会议
13 篇 期刊文献
2 册 图书

馆藏范围

517 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

420 篇 工学
- 371 篇 计算机科学与技术...
- 258 篇 软件工程
- 250 篇 电子科学与技术（可...
- 81 篇 电气工程
- 37 篇 信息与通信工程
- 27 篇 控制科学与工程
- 16 篇 机械工程
- 14 篇 光学工程
- 11 篇 仪器科学与技术
- 11 篇 动力工程及工程热...
- 11 篇 建筑学
- 11 篇 生物医学工程（可授...
- 9 篇 土木工程
- 9 篇 化学工程与技术
- 7 篇 航空宇航科学与技...
- 7 篇 生物工程
- 6 篇 测绘科学与技术
- 5 篇 农业工程
147 篇 理学
- 90 篇 数学
- 50 篇 物理学
- 17 篇 统计学（可授理学、...
- 16 篇 系统科学
- 11 篇 化学
- 8 篇 生物学
47 篇 管理学
- 40 篇 管理科学与工程(可...
- 13 篇 工商管理
- 8 篇 图书情报与档案管...
13 篇 医学
- 9 篇 临床医学
7 篇 法学
- 7 篇 社会学
6 篇 经济学
- 6 篇 应用经济学
5 篇 农学
2 篇 教育学
2 篇 军事学

主题

291 篇 graphics process...
98 篇 graphics process...
35 篇 kernel
33 篇 instruction sets
29 篇 computer archite...
27 篇 hardware
24 篇 parallel process...
16 篇 gpgpu
16 篇 computer graphic...
15 篇 computational mo...
13 篇 gpu
12 篇 central processi...
12 篇 cuda
11 篇 optimization
10 篇 programming
10 篇 benchmark testin...
9 篇 central processi...
9 篇 registers
9 篇 acceleration
9 篇 high performance...

机构

3 篇 eindhoven univer...
3 篇 univ illinois ur...
3 篇 hong kong baptis...
3 篇 nvidia corporati...
2 篇 lockheed martin ...
2 篇 university of ca...
2 篇 electrical and c...
2 篇 international in...
2 篇 univ wisconsin m...
2 篇 school of comput...
2 篇 dept. of compute...
2 篇 institute of con...
2 篇 sarmap sa purasc...
2 篇 zhejiang univers...
2 篇 institut d'elect...
2 篇 nvidia corporati...
2 篇 hkust
2 篇 univ glasgow sch...
2 篇 oak ridge nation...
2 篇 list cea gif-sur...

作者

6 篇 kaeli david
5 篇 luo qiong
5 篇 owens john d.
4 篇 ito yasuaki
4 篇 narayanan p.j.
4 篇 yang ke
4 篇 nakano koji
4 篇 beckmann bradfor...
4 篇 he bingsheng
4 篇 cavazos john
3 篇 fu xin
3 篇 chu xiaowen
3 篇 schaa dana
3 篇 sander pedro v.
3 篇 takemi tetsuya
3 篇 vella flavio
3 篇 fang rui
3 篇 lu mian
3 篇 skadron kevin
3 篇 tan jingweijia

语言

506 篇 英文
5 篇 中文
4 篇 其他
1 篇 葡萄牙文
1 篇 俄文

检索条件"任意字段=Proceedings of the Fourth Workshop on General Purpose Processing on Graphics Processing Units"

共 517 条记录，以下是11-20 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：

general purpose Computing on graphics processing units: From Fixed-Function Pipelines to Programmable Cores 4

General Purpose Computing on Graphics Processing Units: From...

引用

4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

作者： Saleh, Ehab Shastry, Chandrasekar Jain University Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9781665474368

Nowadays, there is a huge demand for high-performance applications that require massive parallel operations that far exceed the capabilities of traditional CPUs. On the other hand, the rapid increase in performance and programmability of graphics processing units (GPUs) has evolved these hardware units into the general-purpose computing field, placing the GPU at the heart of many high-performance applications. Despite the fact that programmers have access to thousands of general-purpose graphical processors, choosing the right device with specific features will play a significant role in the final decisions regarding the results obtained. Because NVIDIA has been a pioneer in changing the architecture of its GPUs to perform general-purpose tasks, we present all GPU architectures developed by NVIDIA Corporation over the last two decades in this paper. We will also look at the major hardware differences along with all the software platforms and solutions that have been introduced in these architectures. This survey should be of particular interest to researchers who are interested in using NVIDIA's GPUs for developing their high-performance applications. © 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

GPU ACCELERATED LES-FGM MODELLING FOR INDUSTRIAL COMBUSTION APPLICATIONS 69

GPU ACCELERATED LES-FGM MODELLING FOR INDUSTRIAL COMBUSTION ...

引用

69th ASME Turbomachinery Technical Conference and Exposition (ASME Turbo Expo) (GT)

作者： McManus, Liam Goldin, Graham Zhang, Yongzhe Veljkovic, Ivana Sadasivuni, Suresh Liu, Kexin Siemens Digital Ind Software London England Siemens Digital Ind Software Lebanon NH USA Siemens Digital Ind Software Fairport NY USA Siemens Digital Ind Software Plano TX USA Siemens Energy Ind Turbomachinery Ltd Lincoln England

ISBN: (纸本)9780791887943

Due to the ever-increasing use of Large Eddy Simulation (LES) for assessing gas turbine combustor flow and mixing fields, flame position and flame dynamics, methods to reduce the computational costs of such simulations are desirable. One such method to achieve this is to utilize advanced High Performance Computing (HPC) architectures such as general purpose Graphical processing units (GPGPUs). In this paper, the Simcenter STAR-CCM+ (R) solver, with the ability to run LES and flamelet based combustion models using GPUs, is used to assess the benefits of using GPU architecture compared to traditional Central processing units (CPUs). LES simulations using the Flamelet Generated Manifold (FGM) combustion model are assessed across a series of test cases: A diffusion jet flame, a pressurized annular combustor and a swirl stabilized industrial gas turbine Dry Low Emission (DLE) combustor provided by Siemens Energy Industrial Turbomachinery Ltd, Lincoln, UK. Numerical simulations using GPUs and CPUs are compared in terms of solution similarity, accuracy in relation to experimental data, computational cost and power consumption. The computational performance of the FGM model with GPU is quantified through comparison to a non-reacting simulation on the same computational grid. It is demonstrated that the use of GPU architectures can result in high-fidelity combustion modelling within the required turn-around times of engineering design cycles whilst maintaining a similar solution and level of accuracy as a traditional CPU based simulation.

关键词： Flow (Dynamics) Simulation Industrial gases Combustion chambers Turbines Gas turbines Combustion Flamelet generated manifold Emissions Energy consumption Architecture Modeling Dynamics (Mechanics) Diffusion (Physics) Turbomachinery Large eddy simulation Computer simulation graphics processing units Cycles Engineering design Flames

来源：评论

学校读者我要写书评

暂无评论

Optimization of the Modified Gaussian Filter for Mobile GPU Usage in Game Workloads

Optimization of the Modified Gaussian Filter for Mobile GPU ...

引用

2023 IEEE International Conference on Communications, Computing, Cybersecurity and Informatics, CCCI 2023

作者： Kang, Jieui Sim, Jaehyeong Bahn, Hyokyung Ewha Womans University Dept of Artificial Intelligence Convergence Seoul Korea Republic of Ewha Womans University Dept of Computer Science & Engineering Seoul Korea Republic of

ISBN: (纸本)9798350302561

The harnessing of mobile graphics processing units (mGPUs) has become increasingly significant in modern computing technology, especially for mobile devices such as smartphones and tablets. In recent years, however, the focus of research has shifted from graphics-specific studies to those involving general-purpose computing on graphics processing units (GPGPU), with an emphasis on AI workloads. As a result, there has been a lack of progress in GPU research tailored to the needs of mobile GPU-intensive workloads, such as 3D, VR, and AR gaming. To address this issue, we analyze gaming workloads, which demand significant GPU usage compared to other applications, to identify the specific constraints they impose on mobile GPUs. Subsequently, we investigate optimization strategies that can be applied to address these constraints while ensuring efficient performance for mobile gaming workloads. We provide a detailed breakdown of the differences in shader usage and filter values between game and general workloads. Our observations show that game workloads mostly make use of Linear Filter instead of Nearest Filter, which is widely used in common mobile apps. Although Linear Filters are more accurate than other filters, the Peak Signal-to-Noise Ratio (PSNR) evaluation metric reveals that they are not the most optimal solution for efficiency in game apps. Based on this observation, we present a new filter, called Gaussian+, optimized for game workloads in mobile GPU systems. We show that Gaussian+ achieves up to 38% improvement in performance with minimal accuracy loss compared to the any other alternate filters. © 2023 IEEE.

关键词： graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

High-Precision Computing based on the CUDA Architecture in Residual Number Systems 5

High-Precision Computing based on the CUDA Architecture in R...

引用

5th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2023

作者： Chumychkin, Vladimir A. Galanina, Nataliya A. Chuvash State University Information Systems Math and Hardware Department Cheboksary Russia

ISBN: (纸本)9798350399523

Residual Number Systems (RNS) are recognized for their parallel arithmetic capabilities. In recent years, they have been employed in various demanding applications, including digital signal processing, high-precision computing, cryptography, and large neural networks. With the advancement of multiprocessor systems on general-purpose platforms, the utilization of RNS for the effective parallelization of arithmetic computational operations with a large dynamic range of up to several tens of bits becomes a crucial aspect. To this end, modern graphics processing units (GPUs) with several thousands of computational cores are ideal platforms. This study evaluates the efficacy of using RNS for implementing multiple precision arithmetic on NVIDIA GPUs using the CUDA hardware and software parallel computing architecture. The results of the experiments demonstrate the high efficiency of RNS for the multiplication operation. A configuration of 256 modules providing a 6400-bit dynamic range results in a computation time that is 7.92 times faster compared to the implementation on the standard GMP MP variant. © 2023 IEEE.

关键词： graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Probing Vulnerabilities in GPU Shader Execution 2

Probing Vulnerabilities in GPU Shader Execution

引用

2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Lungu, Nelson Tembo, Simon Patra, Sudhansu Shekhar Walubita, Ngula Dash, Bibhuti Bhusan De, Utpal Chandra University of Zambia Electrical and Electronical Engineering Lusaka Zambia School of Computer Applications Kiit Deemed to Be University Bhubaneswar India Mukuni Secondary School Livingstone Zambia

ISBN: (纸本)9798350372847

graphics processing units (GPUs) are increasingly used for general-purpose parallel computing. However, the rise of GPUs in security-sensitive domains has exposed vulnerabilities arising from architectural weaknesses. In particular, side-channel attacks on shader execution can leak sensitive data through mechanisms like timing analysis, contention monitoring, and access pattern observation. We present a detailed investigation into shader-based side channels on commercial GPUs. We introduce a taxonomy of attack vectors categorised as timing, contention, and access pattern channels. We use standard shader interfaces like CUDA and OpenCL to demonstrate proof-of-concept exploits on NVIDIA and AMD GPUs for each attack class. Our analysis reveals pervasive side-channel risks from fundamental GPU architectural traits like massive multithreading, memory hierarchies, and throughput-optimised pipelines. Results show that even academically proposed countermeasures are inadequate in practice. We conclude with an in-depth discussion on the root causes of GPU shader vulnerabilities to inform specialised hardware-software co-designed defences. We comprehensively evaluate real-world GPU shader execution risks to guide further research on security-aware accelerator design. © 2024 IEEE.

关键词： graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Accelerating the Lattice Boltzmann Method

Accelerating the Lattice Boltzmann Method

引用

IEEE Aerospace Conference

作者： Altoyan, Wesson Alonso, Juan J. King Abdulaziz City Sci & Technol KACST Riyadh Saudi Arabia Stanford Univ Dept Aeronaut & Astronaut Palo Alto CA USA

ISBN: (纸本)9781665490320

Since its inception, the field of computational fluid dynamics (CFD) has relied on the Navier-Stokes (NS) equations to govern the simulation of fluid flow. By solving the NS equations at all scales, accurate simulations are possible, albeit at high costs in computational time and power. The exorbitant cost of accuracy is often circumvented through numerical models, approximating some, if not all, scales. Technological advancements have also helped reduce simulation costs, but their impact remains limited as they focus on parallel processing, an approach incompatible with the implicit NS equations. In response to these shortcomings, the Lattice-Boltzmann method (LBM) emerged as an alternative approach for directly solving NS equations. Rooted in kinetic theory, LBM describes the behavior of fluids at a macroscopic level by averaging the fluid particles' interactions at a microscopic level. Thus, by following a mesoscopic approach, LBM recovers the NS equations at a cost traditionally matched only by methods employing approximate models. Furthermore, the discrete nature, high locality, and explicit computational scheme of LBM make it an ideal target for parallel processors. Paired with a powerful acceleration hardware, LBM holds the promise of taking CFD simulations to the next level, reaching simulation speeds beyond what Navier-Stokes could achieve. In this paper, we explore the limitations of today's hardware accelerators, which prevent LBM from realizing its full potential. We provide an overview of successful LBM implementations on general-purpose graphics processing units (GPGPU) and field-programmable gate arrays (FPGA), and argue that despite their previous successes, neither platform is likely to provide performance improvements beyond what has already been achieved. As such, we conduct a preliminary study to evaluate the feasibility of an application-specific integrated circuits (ASIC) accelerator, specifically designed to expedite LBM-based simulations. Foc

关键词： graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Research on verification framework of image processing IP core based on real-time reconfiguration 18

Research on verification framework of image processing IP co...

引用

Colloidal Nanoparticles for Biomedical Applications XVIII 2023

作者： Mo, Wei Zhao, Lu Wen, Jianping Xi’an Xwzn Technology Co. Ltd. Shaanxi Science and Technology Holding Group Co. Ltd. Xi’an China Xi’an University of Science and Technology Xi’an China

ISBN: (纸本)9781510658950

The verification of IP core with image processing algorithm is important for SoC and FPGA application in the field of machine vision. This paper proposes a verification framework with general purpose, real-time performance and agility for IP core with image processing algorithm by using heterogeneous platform composed of ARM and FPGA. In the verification framework, the Gigabit Ethernet communication between PC and ARM is established. The FPGA is used to build the data bus to be compatible with multiple types of images, and combine with a partial reconfiguration to achieve fast iteration of IP cores of the algorithm to be verified. The validation framework is reusable for the algorithm IP core, and the deployment speed of the IP cores to be verified is 25 times faster than global reconfiguration. Compared with the existing FPGA verification technology, it has better reusability, shorter verification cycle, more targeted test stimulus, and faster deployment of IP cores to be verified. © 2023 SPIE.

关键词： Image processing

来源：评论

学校读者我要写书评

暂无评论

GPGPU 2022 - 14th workshop on general purpose processing Using GPU

GPGPU 2022 - 14th Workshop on General Purpose Processing Usi...

引用

14th Annual workshop on general purpose processing using graphics processing Unit, GPGPU 2022

ISBN: (纸本)9781450393485

The proceedings contain 6 papers. The topics discussed include: near LLC versus near main memory processing;accelerating data transfer between host and device using idle GPU;systematically extending a high-level code generator with support for tensor cores;compiler-assisted scheduling for multi-instance GPUs;ScaleServe: a scalable multi-GPU machine learning inference system and benchmarking suite;and understanding wafer-scale GPU performance using an architectural simulator.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unleashing GPUs for Network Function Virtualization: an open architecture based on Vulkan and Kubernetes

Unleashing GPUs for Network Function Virtualization: an open...

引用

IEEE/IFIP Network Operations and Management Symposium

作者： Haavisto, Juuso Cholez, Thibault Riekki, Jukka Univ Oulu Ctr Ubiquitous Comp Oulu Finland Univ Oxford Oxford England Univ Lorraine INRIA CNRS LORIA F-54000 Nancy France

ISBN: (纸本)9781665406017

general-purpose computing on graphics processing units (GPGPU) is a promising way to speed up computationally intensive network functions, such as performing real-time traffic classification based on machine learning. Recent studies have focused on integrated graphics units and various performance optimizations to address bottlenecks such as latency. However, these approaches tend to produce architecture-specific binaries and lack the orchestration of functions. A complementary effort would be a GPGPU architecture based on standard and open components, which allows the creation of interoperable and orchestrable network functions. This study describes and evaluates such open architecture based on the cross-platform Vulkan API, in which we execute hand-written SPIR-V code as a network function. We also demonstrate a multi-node orchestration approach for our proposed architecture using Kubernetes. We validate our architecture by executing SPIR-V code performing traffic classification with random forest inference. We test this application both on discrete and integrated graphics cards and on x86 and ARM. We find that in all cases the GPUs are faster than the baseline Cython code.

关键词： graphics Codes graphics processing units Computer architecture Optimal scheduling Programming Software

来源：评论

学校读者我要写书评

暂无评论

CRISP: Concurrent Rendering and Compute Simulation Platform for GPUs

CRISP: Concurrent Rendering and Compute Simulation Platform ...

引用

IEEE International workshop/Symposium on Workload Characterization

作者： Junrui Pan Timothy G. Rogers Elmore Family School of ECE Purdue University West Lafayette USA

ISBN: (数字)9798350356038

ISBN: (纸本)9798350356045

Programmable graphics and compute shaders have blurred the lines between graphics processing and general-purpose computation. APIs such as Asynchronous Compute enable the concurrent execution of raster-based graphics shaders with more general, parallel computation, and emerging graphics and computation-heavy workloads in areas such as augmented and virtual reality can benefit from spatially sharing a *** concurrent execution of graphics rendering and compute kernels are widely used today, contemporary simulators primarily focus on either general compute kernels or rendering pipelines, lacking insight into the challenges and potential opportunities arising from concurrently executing both graphics and compute. To bridge this gap, we present CRISP, a validated cycle-level GPU simulator capable of running graphics rendering and compute kernels concurrently. CRISP extends Accel-Sim by incorporating a detailed programmable graphics pipeline to support Vulkan GLSL Shaders. We demonstrate that CRISP models the rendering pipeline to a high degree of accuracy and highlight the new research opportunities enabled by CRISP through case studies demonstrating the impact of mipmapping, L2 composition using advanced shading techniques, and how prior work on concurrent kernel execution behaves when mixing graphics workloads with compute.

关键词： Solid modeling Computational modeling Pipelines graphics processing units Virtual reality Rendering (computer graphics) Throughput System-on-chip Kernel System analysis and design

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52页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：