v2.2
- Removing implicit reordering of unknowns during matrix-vector multiplication to fix inconsistent behaviour. Please use permutations from cluster trees or 𝓗-matrices to reorder vectors or TPermMatrix to represent permuted matrices instead.
- Speedup improvements for matrix inversion. Triangular inversion and matrix multiplication available in standard user interface.
- Import/export from/to CCS/CRS matrices simplified.
- Simplified (and faster) mutex wrapper.
- Several C++11 changes.
v2.1
- Removing reference counters in BLAS interface due to major performance issue on multi-core (-socket) systems. See BLAS/LAPACK Interface on how to use the modified interface (and avoid errors).
- New, scalable matrix-vector multiplication implemented.
- Using generic datatype for SIMD instructions, thereby enabling generic SIMD algorithms, e.g. for BEM kernels, and fast adoptation of new SIMD instructions, e.g. AVX2.
- Started to use block-wise operations if dense matrices are combined with blocked matrices (e.g. during matrix multiplication) instead of vector operations.
- Removed TVirtualVector (replaced by TScalarVector).
- Fixed issue with MatrixMarket format (leading whitespaces).
v2.0
v2.0.2
- fixed race condition in C bindings
- fixed issue with initialisation of static variables
v2.0.2
v2.0
- Major Changes
- Switched from OpenMP to Threading Building Blocks as interface to shared memory parallelism, thereby also changing most algorithms to task-based parallelism.
- Reducing dependency on external libraries by using C++11 features. Also replacing some classes by default C++ versions (finally removing old code).
- Alternative, non-recursive, level-wise ℋ-LU factorisation based on explicit block dependencies, which provides far better speedup on many-core systems, e.g. Intel MIC architecture.
- New ℋ-LU factorisation algorithm also applicable in distributed environments, yielding better load-balancing (albeit with limited speedup).
- Added support for multiple CPUs to many algorithms, e.g. in clustering, norm computations, matrix-vector multiplication and solves, ℋ²-convertion.
- Minor Changes
- Optimised BEM kernels for Intel MIC architecture.
- Introduced TLinearOperator for operators not supporting TMatrix functionality, e.g. factorised matrices.
- HLIBpro file format changed due to internal changes and due to some bugs in the format. However, backward read compatibility for most files written with earlier versions is kept.
- Added Support for Cairo library, thereby providing PDF output.
- And of course: many smaller feature upgrades and bug fixes.