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CADISHI

Scientific models · by CADISHI

Software package for efficient computation of Euclidean distance histograms from 3D Cartesian coordinate data, driving high-performance kernels pydh (CPU) and cudh (optional GPU) written in C++ and CUDA.

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What it does

Software package for efficient computation of Euclidean distance histograms from 3D Cartesian coordinate data, driving high-performance kernels pydh (CPU) and cudh (optional GPU) written in C++ and CUDA.

  • Computing Euclidean distance histograms from 3D Cartesian coordinate data
  • Particle-pair distance histogram calculation on CPUs and GPUs
  • Analysis of molecular dynamics and astrophysical datasets
Category
Scientific models
Users
Scientists working with molecular dynamics datasets, Astrophysicists analyzing galaxy distributions, Researchers computing particle-pair distance histograms
Public API
Not offered
Deployment
Self-hosted

Not yet disclosed: platforms, languages and support channels.

Pricing

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Security and compliance

No security details published yet

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