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Changelog

DLA-Future 0.6.0

Changes

  • Renamed ScaLAPACK-like generalized eigensolvers pXsygvx/pXhegvx to pXsygvd/pXhegvd. (#1168)
  • Introduced generalized eigensolver where the matrix B is already factorized. (#1167)

Performance improvements

  • Local eigenvector permutations in the distributed tridiagonal eigensolver are executed directly in GPU memory. (#1118)

Bug fixes

  • Fixed ScaLAPACK detection in CMake for specific uenv cases. (#1159)

DLA-Future 0.5.0

Changes

  • Introduced an option (*) for forcing contiguous GPU communication buffers. (#1096)
  • Introduced an option (*) for enabling GPU aware MPI communication. (#1102)
  • Removed special handling of Intel MKL, as it could lead to broken installations. (#1149)
    • Spack installations: spack will set the correct variables.
    • Manual installations: the user is responsible to correctly set variables (see BUILD.md).

(*) These options are available as spack variants.

Performance improvements

  • Don't communicate in algorithms when using single rank communicators. (#1097)
  • Fixed slow performance of local version of bt_band_to_tridiagonal (#1144)

Bug fixes

  • Implemented a workaround for hipMemcpyDefault 2D memcpys, due to bugs in HIP. (#1106)
  • Miniapps initialize HIP before MPI, as on older Cray MPICH versions initializing HIP after MPI leads to HIP not seeing any devices. (#1090)

DLA-Future 0.4.1

Bug fixes

  • Update project version and export it in CMake. (#1121)

DLA-Future 0.4.0

Changes

  • Modified CommunicatorGrid to avoid blocking calls to MPI_Comm_dup. It now returns communicator pipelines. (#993)
  • Added support for Intel oneMKL and the intel-oneapi-mkl spack package. (#1073) (*)

Performance improvements

  • Reduced the size of the matrix-matrix multiplications in the tridiagonal eigensolver to cover only the non deflated part of the eigenvectors. (#951, #967, #996, #997, #998)
  • Introduced stackless threads where appropriate. (#1037)

Bug fixes

  • Use drop_operation_state to avoid stack overflows. (#1004)

Notes

(*) At the time of the release the spack spec blaspp~openmp ^intel-oneapi-mkl threads=openmp doesn't build. If you rely on multithreaded BLAS we suggest to use blaspp+openmp ^intel-oneapi-mkl threads=openmp until spack/spack#42087 gets merged.

DLA-Future 0.3.1

Bug fixes

  • Fixed compilation with gcc 9.3. (#1043)
  • Fixed compilation with CUDA 11.2. (#1045)
  • Improved eigensolver tests. (#1039)

DLA-Future 0.3.0

Changes

  • Added C and ScaLAPACK API (generalized eigensolver). (#992)
  • Removed pika-algorithm dependency. (#945)

Performance improvements

  • Fixed Cholesky priorities. (#999)

DLA-Future 0.2.1

Bug fixes

  • Fixed a problem in reduction_to_band that could have produced results filled with NaNs for certain corner cases. (E.g. input matrix with all off-band elements set to 0). (#980)

DLA-Future 0.2.0

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)

Bug fixes

  • 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)

DLA-Future 0.1.0

The first release of DLA-Future.