PanGu-αHuawei
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Related Products
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About
LAMMPS, the Large-scale Atomic/Molecular Massively Parallel Simulator, is a classical molecular dynamics code with a focus on materials modeling. It models ensembles of particles in liquid, solid, or gaseous states and can simulate atomic, polymeric, biological, solid-state, granular, coarse-grained, mesoscopic, or macroscopic systems using many interatomic potentials, force fields, and boundary conditions. LAMMPS can model systems in two or three dimensions, from only a few particles up to billions, and is designed to run efficiently on parallel computers while remaining easy to extend and modify. It includes potentials for solid-state materials such as metals and semiconductors, soft matter such as biomolecules and polymers, and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generally, as a parallel particle simulator at atomic, meso, or continuum scale.
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About
PanGu-α is developed under the MindSpore and trained on a cluster of 2048 Ascend 910 AI processors. The training parallelism strategy is implemented based on MindSpore Auto-parallel, which composes five parallelism dimensions to scale the training task to 2048 processors efficiently, including data parallelism, op-level model parallelism, pipeline model parallelism, optimizer model parallelism and rematerialization. To enhance the generalization ability of PanGu-α, we collect 1.1TB high-quality Chinese data from a wide range of domains to pretrain the model. We empirically test the generation ability of PanGu-α in various scenarios including text summarization, question answering, dialogue generation, etc. Moreover, we investigate the effect of model scales on the few-shot performances across a broad range of Chinese NLP tasks. The experimental results demonstrate the superior capabilities of PanGu-α in performing various tasks under few-shot or zero-shot settings.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Computational materials scientists wanting a parallel simulator for molecular dynamics, particle systems, and multiscale materials researc
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Audience
AI developers interested in a powerful large language model
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLAMMPS
United States
www.lammps.org
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Company InformationHuawei
Founded: 1987
China
arxiv.org/abs/2104.12369
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Integrations
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Integrations
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