https://github.com/gpmueller/vectorfield

Kernels for Vectorfields using Eigen and (if CUDA is activated) cudaMallocManaged
https://github.com/gpmueller/vectorfield

Last synced: about 1 year ago
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Kernels for Vectorfields using Eigen and (if CUDA is activated) cudaMallocManaged

• Host: GitHub
• URL: https://github.com/gpmueller/vectorfield
• Owner: GPMueller
• License: mit
• Created: 2016-12-13T14:42:00.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-15T14:15:12.000Z (about 9 years ago)
• Last Synced: 2025-02-03T20:13:30.349Z (over 1 year ago)
• Language: C++
• Homepage:
• Size: 1000 KB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# vectorfield

Kernels acting on scalar- and vectorfields

## Project Health

| Service | System | Compiler | Status |

| ------- | ------ | -------- | -----: |

|  [Travis-CI](https://travis-ci.org/GPMueller/vectorfield) | Ubuntu 14.04 
 macOS | GCC 6 
 Clang | [![Build Status](https://travis-ci.org/GPMueller/vectorfield.svg?branch=master)](https://travis-ci.org/GPMueller/vectorfield) |

|  [AppVeyor](https://ci.appveyor.com/project/GPMueller/vectorfield) | Windows | MSVC12 
 MSVC14 
 MSVC14.1 | [![Build status](https://ci.appveyor.com/api/projects/status/dtiflux1wmhm6sd2?svg=true)](https://ci.appveyor.com/project/GPMueller/vectorfield) |

The vectorfields are setup as `std::vector` with optional CUDA support.

If CUDA is used, an allocator using cudaMallocManaged is employed so that the user

does not have to worry about copying vectorfields between host and device, except for

performance.