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

Bugfix:

• Fixed compilation with gcc 9.3
• Fixed compilation with CUDA 11.2
• Improved eigensolver tests

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

Bugfix:

• 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).

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)

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)

DLA-Future 0.1.0

The first release of DLA-Future.