NSTL国家科技图书文献中心

1. X-ray simulations with gVXR as a useful tool for education, data analysis, set-up of CT scans, and scanner development NSTL国家科技图书文献中心

Franck P. Vidal | Shaghayegh Afshari ... - 《Developments in X-Ray Tomography XV》 - Developments in X-Ray Tomography (conference) - 2024, - 131520W.1～131520W.20 - 共20页

摘要： X-ray images in real time on a graphics processor | unit (GPU) using triangular meshes. A wide range of | gVirtualXray (gVXR) is an open-source | framework that relies on the Beer-Lambert law to simulate | programming languages is supported (C/C++, Python, R, Ruby

关键词： X-ray imaging | Computed tomography | Simulation | GPU programming | Digital twinning

2. Effective GPU Rendering for Surveillance Camera Application NSTL国家科技图书文献中心

Jinwoo Kim | Jinhong Park ... - 《2024 International Conference on Computer Graphics and Image Processing: CGIP 2024, Tokyo, Japan, 12-14 January 2024》 - International Conference on Computer Graphics and Image Processing - 2024, - 102～106 - 共5页

摘要： graphics processor (VGPU) or a low-end 3D graphics | processing unit* (G PU) for user interface (UI) rendering* | . Since the 3D GPU* supports a diverse array of* | pro-cessing to leverage the GPU* operators, and 2) a* | Surveillance cameras typically use a 2D vector

关键词： Three-dimensional displays | Surveillance | Graphics processing units | Bandwidth | User interfaces | Streaming media | Cameras

3. TURBULENCE: Complexity-Effective Out-of-Order Execution on GPU With Distance-Based ISA NSTL国家科技图书文献中心

Reoma Matsuo | Toru Koizumi ... - 《IEEE computer architecture letters》 - 2024,23(2) - 175～178 - 共4页

摘要：A graphics* processing unit (GPU) is a* | processor that achieves high throughput by exploiting data | parallelism. We found that many GPU* workloads also contain* | GPU. | instruction-level parallelism that can be extracted through

关键词： Registers | Out of order | Graphics processing units | Relays | Microarchitecture | Dynamic scheduling | Decoding

4. Performance Analysis of Different Processor Architectures Applied to CMP Process Modeling Acceleration NSTL国家科技图书文献中心

Zhirui Niu | Yan Sun ... - 《2024 2nd International Symposium of Electronics Design Automation》 - International Symposium of Electronics Design Automation - 2024, - 592～599 - 共8页

摘要： (DCU) or Graphics* Processing Unit (GPU) with powerful* | analysis, thus the utilization of Data Computing Unit | imperative. The Hygon Z100 DCU, a processor* dedicated for* | NVIDIA RTX 2080Ti GPU. Additionally, EDA softwares | accelerating matrix operations in the RTX 2080Ti GPU, it

关键词： Training | Design automation | Tensors | Graphics processing units | Bandwidth | Computer architecture | Artificial neural networks

5. Secure Video Streaming Using Dedicated Hardware NSTL国家科技图书文献中心

Nicholas Murray-Hill | Laura Fontes ... - 《Journal of signal processing systems for signal, image, and video technology》 - 2023,95(10) - 1265～1275 - 共11页

摘要： (MPSoC) composed of Central Processor* Unit (CPU) and* | surveillance and monitoring. A Multi-Processor* System-On-Chip* | embedded in the FPGA unit* to avoid being exposed in the* | The purpose of this article is to present a | system that enhances the security, efficiency, and

关键词： IoT | FPGA | Graphics Processor Unit (GPU) | PYNQ | MPSoC | Security streaming | Edge computing

6. Simulation of X-ray projections on GPU: Benchmarking gVirtualXray with clinically realistic phantoms NSTL国家科技图书文献中心

Pointon J.L. | Wen T.... - 《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 - 2023,234 - 107500～107500 - 共7页

摘要： in realtime on a graphics processor unit (GPU | ? 2023 The Author(s)Background and objectives | : This study provides a quantitative comparison of | images created using gVirtualXray (gVXR) to both Monte | Carlo (MC) and real images of clinically realistic

关键词： Computed tomography | DRR | GPU programming | Image registration | Monte Carlo | Simulation | X-rays

7. SWsnn: A Novel Simulator for Spiking Neural Networks NSTL国家科技图书文献中心

Zhichao Wang | Xuelei Li ... - 《Journal of computational biology: A journal of computational molecular cell biology》 - 2023,30(9) - 951～960 - 共10页

摘要： using central processing unit (CPU) or graphics | processing unit* (GPU) have been developed. However, due to* | SW26010pro processor. The SW26010pro processor* consists of* | that SWsnn runs faster than other mainstream GPU | model of Sunway processor* and developed a*

关键词： simulation | SW26010pro | spiking neural network

8. Improving GPU web simulations of spiking neural P systems NSTL国家科技图书文献中心

Odasco, Ayla Nikki L... | Rey, Matthew Lemuel ...... - 《Journal of Membrane Computing》 - 2023,5(4) - 205～220 - 共16页

摘要： as the graphics* processing unit (GPU) is only* | The utilization of a parallel processor* such* | , GPUSnapse, that both utilizes GPU* and runs on modern web* | browsers by exploiting the Web Graphics* Library (WebGL* | also analyzed the performance between GPU* and CPU*

关键词： SN P system | GPUSnapse | WebGL

9. An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention EI 工程索引 NSTL国家科技图书文献中心

Yang Wang | Yubin Qin ... - 《IEEE Journal of Solid-State Circuits》 - 2023,58(1) - 227～242 - 共16页

摘要： $ higher than A100 graphics processing unit (GPU | handled by the existing CNN processor* due to the* | design a dedicated Transformer processor. However | a Transformer processor* effectively handling the* | , a bidirectional asymptotical speculation unit

关键词： Transformers | Computational modeling | Artificial intelligence | Convolution | Sports | Throughput | Technological innovation

10. Bayesian calibration of GPU-based DEM meso-mechanics Part I: Parallelization of RVEs EI 工程索引 SCIE Web of Science核心 NSTL国家科技图书文献中心

Retief Lubbe | Wen-Jie Xu ... - 《Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems》 - 2022,407 - 117631,2-16～ - 共16页

摘要： advances toward Graphics* Processor Unit (GPU) based DEM* | Calibration of Discrete Element Method (DEM | ) parameters is essential for modeling geotechnical | applications. This task can, however, be extremely tedious or | sometimes even impossible to undertake. This is largely

关键词： Discrete element method (DEM) | Graphical Processor Unit (GPU) | Periodic boundary conditions (PBC) | Parameter calibration | Representative Volume Element (RVE)

摘要： X-ray images in real time on a graphics processor | unit (GPU) using triangular meshes. A wide range of | gVirtualXray (gVXR) is an open-source | framework that relies on the Beer-Lambert law to simulate | programming languages is supported (C/C++, Python, R, Ruby

关键词： X-ray imaging | Computed tomography | Simulation | GPU programming | Digital twinning

摘要： graphics processor (VGPU) or a low-end 3D graphics | processing unit (G PU) for user interface (UI) rendering | . Since the 3D GPU supports a diverse array of | pro-cessing to leverage the GPU operators, and 2) a | Surveillance cameras typically use a 2D vector

关键词： Three-dimensional displays | Surveillance | Graphics processing units | Bandwidth | User interfaces | Streaming media | Cameras

摘要：A graphics processing unit (GPU) is a | processor that achieves high throughput by exploiting data | parallelism. We found that many GPU workloads also contain | GPU. | instruction-level parallelism that can be extracted through

关键词： Registers | Out of order | Graphics processing units | Relays | Microarchitecture | Dynamic scheduling | Decoding

摘要： (DCU) or Graphics Processing Unit (GPU) with powerful | analysis, thus the utilization of Data Computing Unit | imperative. The Hygon Z100 DCU, a processor dedicated for | NVIDIA RTX 2080Ti GPU. Additionally, EDA softwares | accelerating matrix operations in the RTX 2080Ti GPU, it

关键词： Training | Design automation | Tensors | Graphics processing units | Bandwidth | Computer architecture | Artificial neural networks

摘要： (MPSoC) composed of Central Processor Unit (CPU) and | surveillance and monitoring. A Multi-Processor System-On-Chip | embedded in the FPGA unit to avoid being exposed in the | The purpose of this article is to present a | system that enhances the security, efficiency, and

关键词： IoT | FPGA | Graphics Processor Unit (GPU) | PYNQ | MPSoC | Security streaming | Edge computing

摘要： in realtime on a graphics processor unit (GPU | ? 2023 The Author(s)Background and objectives | : This study provides a quantitative comparison of | images created using gVirtualXray (gVXR) to both Monte | Carlo (MC) and real images of clinically realistic

关键词： Computed tomography | DRR | GPU programming | Image registration | Monte Carlo | Simulation | X-rays

摘要： using central processing unit (CPU) or graphics | processing unit (GPU) have been developed. However, due to | SW26010pro processor. The SW26010pro processor consists of | that SWsnn runs faster than other mainstream GPU | model of Sunway processor and developed a

关键词： simulation | SW26010pro | spiking neural network

摘要： as the graphics processing unit (GPU) is only | The utilization of a parallel processor such | , GPUSnapse, that both utilizes GPU and runs on modern web | browsers by exploiting the Web Graphics Library (WebGL | also analyzed the performance between GPU and CPU

关键词： SN P system | GPUSnapse | WebGL

摘要： $ higher than A100 graphics processing unit (GPU | handled by the existing CNN processor due to the | design a dedicated Transformer processor. However | a Transformer processor effectively handling the | , a bidirectional asymptotical speculation unit

关键词： Transformers | Computational modeling | Artificial intelligence | Convolution | Sports | Throughput | Technological innovation

摘要： advances toward Graphics Processor Unit (GPU) based DEM | Calibration of Discrete Element Method (DEM | ) parameters is essential for modeling geotechnical | applications. This task can, however, be extremely tedious or | sometimes even impossible to undertake. This is largely

关键词： Discrete element method (DEM) | Graphical Processor Unit (GPU) | Periodic boundary conditions (PBC) | Parameter calibration | Representative Volume Element (RVE)

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国家科技图书文献中心

摘要： graphics processor (VGPU) or a low-end 3D graphics | processing unit* (G PU) for user interface (UI) rendering* | . Since the 3D GPU* supports a diverse array of* | pro-cessing to leverage the GPU* operators, and 2) a* | Surveillance cameras typically use a 2D vector

摘要：A graphics* processing unit (GPU) is a* | processor that achieves high throughput by exploiting data | parallelism. We found that many GPU* workloads also contain* | GPU. | instruction-level parallelism that can be extracted through

摘要： (DCU) or Graphics* Processing Unit (GPU) with powerful* | analysis, thus the utilization of Data Computing Unit | imperative. The Hygon Z100 DCU, a processor* dedicated for* | NVIDIA RTX 2080Ti GPU. Additionally, EDA softwares | accelerating matrix operations in the RTX 2080Ti GPU, it

摘要： (MPSoC) composed of Central Processor* Unit (CPU) and* | surveillance and monitoring. A Multi-Processor* System-On-Chip* | embedded in the FPGA unit* to avoid being exposed in the* | The purpose of this article is to present a | system that enhances the security, efficiency, and

摘要： using central processing unit (CPU) or graphics | processing unit* (GPU) have been developed. However, due to* | SW26010pro processor. The SW26010pro processor* consists of* | that SWsnn runs faster than other mainstream GPU | model of Sunway processor* and developed a*

摘要： as the graphics* processing unit (GPU) is only* | The utilization of a parallel processor* such* | , GPUSnapse, that both utilizes GPU* and runs on modern web* | browsers by exploiting the Web Graphics* Library (WebGL* | also analyzed the performance between GPU* and CPU*

摘要： $ higher than A100 graphics processing unit (GPU | handled by the existing CNN processor* due to the* | design a dedicated Transformer processor. However | a Transformer processor* effectively handling the* | , a bidirectional asymptotical speculation unit

摘要： advances toward Graphics* Processor Unit (GPU) based DEM* | Calibration of Discrete Element Method (DEM | ) parameters is essential for modeling geotechnical | applications. This task can, however, be extremely tedious or | sometimes even impossible to undertake. This is largely