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.
IndeX for ParaView can be run inside a workstation or on a GPU-accelerated cluster.
We recently enabled GPU-accelerated video decoding for Chrome on Windows.
Do I need a specific graphics card toget faster performance when using the GPU-accelerated features?
IBM GPU-accelerated semantic similarity search at scale shows∼30000× speed up.
In our tests[1],the battery lasted 25% longer when GPU-accelerated video decoding was enabled.
GPU-accelerated computing is the use of a graphics processing unit(GPU) together with a CPU to accelerate scientific, engineering, and enterprise applications.
The NVIDIA DeveloperProgram connects developers with tools to build GPU-accelerated applications.
BIDMach is A CPU and GPU-accelerated machine learning library planned in view of speed.
Of all medical fields,ophthalmology is among the best suited to benefit from GPU-accelerated deep learning, Lee said.
Moreover, they tap a cloud-based and GPU-accelerated backend to self-improve, so that they become more robust over time.
That AMD algorithm, completed in only three weeks,dispelled Lee's skepticism about the advantages of GPU-accelerated deep learning.
He and his colleagues at UCSF are using GPU-accelerated deep learning to improve mammogram accuracy.
Announced a collaboration with Red Hat to deliver software-defined 5GRAN using Red Hat OpenShift and GPU-accelerated servers.
Public cloud service providers have started to offer GPU-accelerated virtual instances that can be used for machine learning.
Pyro builds on the excellent PyTorch library,which includes automatic differentiation using very fast, GPU-accelerated tensor math.
Including outstanding color correction, video capture, GPU-accelerated real-time effects and supports almost any video format.
The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C andC++ developers building GPU-accelerated applications.
Including outstanding color correction, video capture, GPU-accelerated real-time effects and supports almost any video format.
The Deep Learning SDK requires CUDA Toolkit,which offers a comprehensive development environment for building GPU-accelerated deep learning algorithms.
Its main features are a high-level colour correction, GPU-accelerated real-time effects, support for almost every format, video capturing.
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.
Notable features include professional-level color correction, GPU-accelerated real-time effects, video capture, and nearly all-encompassing format support.
GPU-accelerated Desktop as a Service(GPU-DaaS) has implications for any industry that requires 3D modeling, high-end graphics, simulations, or video production.
She and her postdoctoral fellow, James Brown,are developing a GPU-accelerated deep learning system that could automatically determine the severity of the disease.
Live migration of GPU-accelerated virtual machines(VMs) was once a painful process involving significant resource planning, testing, staffing, and scheduling.
Continuum Analytics' Python development environment uses LLVM andthe NVIDIA CUDA compiler software development kit to deliver GPU-accelerated application capabilities to Python programmers.