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DLA-Future 0.2.0
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@rasolca rasolca released this 30 Aug 14:41
· 184 commits to master since this release
v0.2.0
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Changes:

  • renamed algorithms using snake case (#942)
  • added C and ScaLAPACK API (cholesky and eigensolver) (#886)
  • Matrix API:
    • initial support for matrices with different tile/block-size (#909)
    • initial support for matrix subpipelines (#898)
    • initial support for submatrices (#934)
    • initial support for matrix redistribution (#933)

Bugfixes:

  • fixed a problem in tridiagonal_eigensolver which produced wrong results for some classes of matrices (#960)

Performance improvements:

  • introduced busy barriers in reduction_to_band (#864)
  • new band_to_tridiagonal algorithm implementation (#938, #946)
  • improved the rank1 problem solution in tridiagonal_eigensolver (#904, #936)
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