Data

Tools

Indexes

Applications

Experiments

Open Source Science

Recent Releases of dedalus

dedalus - Dedalus v3.0.4

What's Changed

  • Allow points in folder name for evaluator by @tlunet in https://github.com/DedalusProject/dedalus/pull/311
  • Broader support of custom universal functions by @kburns in https://github.com/DedalusProject/dedalus/pull/305
  • Fix possible hdf5 deadlock (ab8ffc1)
  • Fix some errors in task processing by @kburns in https://github.com/DedalusProject/dedalus/pull/312
  • Add quick domain interface (c829c76)
  • Fix unsupported bool error in new numpy (4bd724d)
  • Allow changing scales when setting/getting field data (75e6b1c)

New Contributors

  • @tlunet made their first contribution in https://github.com/DedalusProject/dedalus/pull/311

Full Changelog: https://github.com/DedalusProject/dedalus/compare/v3.0.3...v3.0.4

- Python
Published by kburns 6 months ago

dedalus - Dedalus v3.0.3

What's Changed

  • Add built-in cprofile tooling by @kburns in https://github.com/DedalusProject/dedalus/pull/278
  • Profiling enhancements by @kburns in https://github.com/DedalusProject/dedalus/pull/288
  • Add ability to specify starting eigenvector in sparse eigs (328a4f4)
  • CartesianTrace with rank > 2 by @lecoanet in https://github.com/DedalusProject/dedalus/pull/292
  • Fix dispatching issues with get_basis on cartesian coordinates by @kburns in https://github.com/DedalusProject/dedalus/pull/294
  • Fix Hermitian transpose by @csskene in https://github.com/DedalusProject/dedalus/pull/297
  • Attempt to fix regularity recombination when array has size 0 by @csskene in https://github.com/DedalusProject/dedalus/pull/286
  • Polar components on tensors by @lecoanet in https://github.com/DedalusProject/dedalus/pull/295

Full Changelog: https://github.com/DedalusProject/dedalus/compare/v3.0.2...v3.0.3

- Python
Published by kburns over 1 year ago

dedalus - Dedalus v3.0.2

What's Changed

  • Fixed bug in setting scales with arrays (e.g. when loading data from hdf5) (https://github.com/DedalusProject/dedalus/commit/d2532390b6164e537b9dc41bea359860abac6c83)
  • Updated sparse matrix routines for compatibility with scipy v1.12 (https://github.com/DedalusProject/dedalus/commit/1885f707936f058fea3d4ab80ee6c567182843ce)
  • Added MPI explicitly to linking arguments during build, to help when not explicitly compiling with mpicc (https://github.com/DedalusProject/dedalus/commit/bbb4f93e204fac08d442ad61c8263732dd033bc5)

Full Changelog: https://github.com/DedalusProject/dedalus/compare/v3.0.1...v3.0.2

- Python
Published by kburns about 2 years ago

dedalus - Dedalus v3.0.1

What's Changed

  • Reuse the LU decomposition when solving for left eigenvectors using the sparse solver by @csskene in https://github.com/DedalusProject/dedalus/pull/277
  • Patch a few distributor methods that weren't updated to v3.0 API and rerun tutorials (c5ae610)

Full Changelog: https://github.com/DedalusProject/dedalus/compare/v3.0.0...v3.0.1

- Python
Published by kburns about 2 years ago

dedalus - Dedalus v3.0.0

This is the first official release of v3 of Dedalus, which entails substantial restructuring from v2 to support: - curvilinear bases - tensorial equation entry (div, grad, curl) - higher-order problem formulations - problems involving fields with different dimensionalities

Supported bases now include:

  • Fourier (real and complex)
  • Jacobi (including Chebyshev and Laguerre)
  • Annulus (using rational Chebyshev functions)
  • Disk (using one-sided Jacobi polynomials)
  • Sphere (using spin-weighted spherical harmonics)
  • SphericalShell (using rational Chebyshev functions)
  • Ball (using one-sided Jacobi polynomials)

Other changes are documented in the Changes from Dedalus v2 docs.

- Python
Published by kburns about 2 years ago

dedalus - Dedalus v2.2207

Note: This is expected to be the last major v2 release. While we plan to continue issuing bugfixes and backporting major performance improvements and minor API additions from v3, we encourage new users to begin using v3.

Feature additions:

  • Transposed LU factorizations for the direct solution of bordered problems without Dirichlet preconditioning. This enables the efficient use of e.g. integral boundary conditions (e1541b9ce1b968d8886889f68b513b0b00d2ba0c).
  • Interpolation can now be triggered by using a field/operator's __call__ method, like u(y='left') (248922118c7bbbea77e5677de75efe588f258ea3).
  • Left eigenvectors now available with the sparse eigenvalue solver (ad264a476dd14909ff32661e536206a7aa229441).
  • Simplified stat logging has be backported from v3 (73981d803ce681f746b1a4562e6b82bd0d5c1c61).

Performance changes:

  • Improved sparse matrix applications and other performance improvements have been backported from v3 (36c8e14a40aa82f124097144b3670821fe0367f6).

- Python
Published by kburns over 3 years ago

dedalus - Dedalus v2.1810

- Python
Published by kburns over 5 years ago

dedalus - Dedalus v2.1905

- Python
Published by kburns over 5 years ago

dedalus - Dedalus v2.2006

Feature additions: - New Legendre polynomial basis (77d92e5253f2706ea0ebf0e9b99461bbfcc63dd4). - Problems now support variables marked as constant in the coupled dimension (see 1D Lane Emden example) (77d92e5253f2706ea0ebf0e9b99461bbfcc63dd4). - New methods for computing CFL times based on diffusive terms in conservative and non-conservative form (6e2cec29999db36e3cb5dfc9573a8c1db290b7ca). - Grid spacings are now available in the parsing namespace as e.g. 'sx' for the 'x' dimension (71219d1a1a67f51feb799aa8179d46765fdbfd38). - Number of tau rows removed per equation can now be specified with the 'tau' keyword in Problem.add_equation (ce8c1317b13487012e4c518650de48b202fc8fa9). - New command-line options get_config and get_examples for copying the configuration file and example scripts (cc0373e742dcaa56c88db4d29a0b841a48b1d5c0).

Behavior modifications: - Default value of 'ncc_cutoff' changed from 1e-10 to 1e-6 to produce more banded NCC matrices (7efb88446b806a0dd0ffaec0d5d08fbd7689fb9c) - Default value of 'entry_cutoff' changed from 0 to 1e-12 to prevent rounding errors from reducing matrix sparsity (7efb88446b806a0dd0ffaec0d5d08fbd7689fb9c). - Hermitian symmetry for real problems is now explicitly enforced every 100 iterations by default. This can be modified via the 'enforce_real_cadence' keyword for IVP solvers (5b3be571679a73ae7e28d77af093c1ba61c0f4e3).

Performance changes: - Improved strategy for reducing the number of transforms when evaluating RHS terms (0ce1482b3516bcb4052b9babd029c191e04f2da1).

- Python
Published by kburns over 5 years ago