What is the translation of " GPU-ACCELERATED " in Chinese?

Noun

Examples of using Gpu-accelerated in English and their translations into Chinese

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GPU-accelerated Databases: databases that are required to ingest streaming data.
GPU加速的数据库:提取流数据所需的数据库。
IndeX for ParaView can be run inside a workstation or on a GPU-accelerated cluster.
适用于ParaView的IndeX可在工作站内或GPU加速集群上运行。
We recently enabled GPU-accelerated video decoding for Chrome on Windows.
我们最近在Windows版Chrome开启了对视频解码的GPU加速
Do I need a specific graphics card toget faster performance when using the GPU-accelerated features?
使用GPU加速功能时,我是否需要专门的图形卡才能获得更快的性能??
IBM GPU-accelerated semantic similarity search at scale shows∼30000× speed up.
上一篇:IBMGPU加速语义相似性搜索在规模上显示~30000x加速.
In our tests[1],the battery lasted 25% longer when GPU-accelerated video decoding was enabled.
在我们的测试中,当启用GPU加速视频解码技术时,电池续航时间延长了25%。
GPU-accelerated computing is the use of a graphics processing unit(GPU) together with a CPU to accelerate scientific, engineering, and enterprise applications.
GPU加速的计算是利用一颗图形处理器(GPU)以及一颗CPU来加速科学、工程以及企业级应用程序。
The NVIDIA DeveloperProgram connects developers with tools to build GPU-accelerated applications.
NVIDIA开发者计划将开发者与开发工具联系起来,以构建GPU加速的应用程序。
BIDMach is A CPU and GPU-accelerated machine learning library planned in view of speed.
BIDMach是一种基于CPU和gpu加速的机器学习库,根据速度进行规划。
Of all medical fields,ophthalmology is among the best suited to benefit from GPU-accelerated deep learning, Lee said.
在所有的医学领域中,眼科是最适合从GPU加速的深入学习中受益的,李说。
Moreover, they tap a cloud-based and GPU-accelerated backend to self-improve, so that they become more robust over time.
此外,它们还利用基于云和GPU加速的后端进行自我改进,从而使它们随着时间的推移变得更加健壮。
That AMD algorithm, completed in only three weeks,dispelled Lee's skepticism about the advantages of GPU-accelerated deep learning.
在仅仅三周内完成的AMD算法,打消了李对GPU加速深入学习的优势的怀疑。
He and his colleagues at UCSF are using GPU-accelerated deep learning to improve mammogram accuracy.
目前,他和UCSF的同事正在使用GPU加速的深度学习来提高乳腺X线摄影的诊断准确率。
Announced a collaboration with Red Hat to deliver software-defined 5GRAN using Red Hat OpenShift and GPU-accelerated servers.
宣布联合红帽一起提供使用RedHatOpenShift和GPU加速服务器的软件定义5GRAN。
Public cloud service providers have started to offer GPU-accelerated virtual instances that can be used for machine learning.
公有云服务提供商已经开始提供GPU加速的虚拟实例,可用于机器学习。
Pyro builds on the excellent PyTorch library,which includes automatic differentiation using very fast, GPU-accelerated tensor math.
Pyro构建在优秀的PyTorch库之上,后者包括使用非常快速、GPU加速的张量数学的自动微分。
Including outstanding color correction, video capture, GPU-accelerated real-time effects and supports almost any video format.
显着的功能包括专业级的色彩校正,GPU加速的实时效果,视频捕获以及几乎所有格式的支持。
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C andC++ developers building GPU-accelerated applications.
NVIDIACUDAToolkit为C和C++开发人员构建GPU加速应用程序提供全面的开发环境。
Including outstanding color correction, video capture, GPU-accelerated real-time effects and supports almost any video format.
值得注意的功能包括专业级色彩校正,GPU加速的实时效果,视频捕获以及几乎所有格式的支持。
The Deep Learning SDK requires CUDA Toolkit,which offers a comprehensive development environment for building GPU-accelerated deep learning algorithms.
深度学习SDK需要使用CUDA工具包,此工具包可为构建GPU加速深度学习算法提供全面的开发环境。
Its main features are a high-level colour correction, GPU-accelerated real-time effects, support for almost every format, video capturing.
显着的功能包括专业级的色彩校正,GPU加速的实时效果,视频捕获以及几乎所有格式的支持。
GPU-accelerated deep learning may be able to detect signs of disease that doctors miss, or speed diagnosis so doctors can start treatments sooner, he said.
GPU-加速深入学习他说,也许能够发现医生错过的疾病征兆,或者加快诊断速度,这样医生就可以更快地开始治疗。
Notable features include professional-level color correction, GPU-accelerated real-time effects, video capture, and nearly all-encompassing format support.
显着的功能包括专业级的色彩校正,GPU加速的实时效果,视频捕获以及几乎所有格式的支持。
GPU-accelerated Desktop as a Service(GPU-DaaS) has implications for any industry that requires 3D modeling, high-end graphics, simulations, or video production.
GPU加速的桌面即服务(GPU-DaaS)适用于需要3D建模、高端图形、模拟或视频制作的任何行业。
She and her postdoctoral fellow, James Brown,are developing a GPU-accelerated deep learning system that could automatically determine the severity of the disease.
她和她的博士后搭档JamesBrown正在开发GPU加速的深度学习系统,以自动确定这种疾病的严重性。
Live migration of GPU-accelerated virtual machines(VMs) was once a painful process involving significant resource planning, testing, staffing, and scheduling.
即时迁移GPU加速的虚拟机(VM)曾是一个痛苦的过程,需要动用大量资源进行规划、测试、人员配备和工作调度。
Continuum Analytics' Python development environment uses LLVM andthe NVIDIA CUDA compiler software development kit to deliver GPU-accelerated application capabilities to Python programmers.
ContinuumAnalytics的Python开发环境利用LLVM和NVIDIACUDA编译器软件开发包来为Python程序员提供GPU加速的应用程序功能。
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