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David Ketcheson
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Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Addendum: I am aware of Donna Calhoun's extensive list of AMR packages, but I don't know which of them (if any) fit the criteria above. So I'm mainly interested in hearing from people who have actual experience with one or (better yet) more packages, as to how they measure up in those terms.

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Addendum: I am aware of Donna Calhoun's extensive list of AMR packages, but I don't know which of them (if any) fit the criteria above. So I'm mainly interested in hearing from people who have actual experience with one or (better yet) more packages, as to how they measure up in those terms.

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Addendum: I am aware of Donna Calhoun's extensive list of AMR packages, but I don't know which of them (if any) fit the criteria above. So I'm mainly interested in hearing from people who have actual experience with one or (better yet) more packages, as to how they measure up in those terms.

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David Ketcheson
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  • 106

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Addendum: I am aware of Donna Calhoun's extensive list of AMR packages, but I don't know which of them (if any) fit the criteria above. So I'm mainly interested in hearing from people who have actual experience with one or (better yet) more packages, as to how they measure up in those terms.

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Addendum: I am aware of Donna Calhoun's extensive list of AMR packages, but I don't know which of them (if any) fit the criteria above. So I'm mainly interested in hearing from people who have actual experience with one or (better yet) more packages, as to how they measure up in those terms.

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David Ketcheson
  • 16.9k
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  • 106

Is there a general-purpose library for structured grid adaptive mesh refinement?

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Is there a general-purpose library for adaptive mesh refinement?

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

Is there a general-purpose library for structured grid adaptive mesh refinement?

Adaptive mesh refinement (AMR) is a common technique for dealing with the problem of widely varying spatial scales in the numerical solution of PDEs. What general-purpose libraries exist for AMR on structured grids? Ideally I'd like something in the spirit of PETSc, where the library handles just the adaptive meshes and I provide the physics and discretization (finite difference/volume/element).

The ideal library would be

  • Modular: doesn't dictate how I write my code or too much of my data structures)
  • General: doesn't care what kind of discretization I'm using
  • Efficient: doesn't incur too much overhead
  • Parallel and highly scalable

Libraries that fit only a subset of these criteria would still be of interest.

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David Ketcheson
  • 16.9k
  • 4
  • 56
  • 106
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