Blaze 3.8

• Released on August, 15th, 2020
• Introduction of the isinf() and isfinite() functions
• Introduction of groups/tags for vectors and matrices
• Introduction of the repeat() function for vectors and matrices
• Introduction of allocators for DynamicVector and DynamicMatrix
• Extended support for custom data types
• Optimizations of the dense vector norm and reduction kernels
• Optimizations of the dense matrix norm and reduction kernels

Blaze 3.7

• Released on February, 23rd, 2020
• Introduction of vector generators and matrix generators
• Introduction of the dense matrix exponential
• Introduction of the solve() function for dense linear systems
• Support for 64-bit BLAS and LAPACK libraries
• Enable instance-specific alignment and padding configuration for StaticVector, HybridVector, StaticMatrix, and HybridMatrix
• constexprification of HybridVector and HybridMatrix
• Introduction of outer sum, outer difference, and outer quotient operations
• Introduction of N-ary map() operations for dense vectors and matrices (up to N<=6)
• Introduction of the select() function for dense vectors and matrices
• Introduction of the rank() function for dense matrices
• Introduction of the declunilow() and decluniupp() functions
• Introduction of the declstrlow() and declstrupp() functions
• Introduction of the nosimd() function for vectors and matrices
• Introduction of the noalias() function for vectors and matrices
• Introduction of the isPositiveDefinite() function for dense matrices
• Introduction of the eigen() expression
• Introduction of the svd() expression
• Introduction of a std::array constructor for all dense vectors and dense matrices
• Introduction of min() and max() overloads for vector/scalar and matrix/scalar operations
• Optimizations of the dense matrix/dense vector multiplication kernels
• Optimizations of the dense matrix/dense matrix multiplication kernels
• Extended support for C++17 class template argument deduction (CTAD)

Blaze 3.6

• Released on August, 25th, 2019
• Introduction of the Kronecker product for vectors and matrices
• Introduction of statistic operations for vectors and matrices
  • Introduction of the mean() function for vectors and matrices
  • Introduction of the var() function for vectors and matrices
  • Introduction of the stddev() function for vectors and matrices
• Introduction of the argmin() and argmax() functions for dense and sparse vectors
• Introduction of scalar addition and scalar subtraction for vectors and matrices
• Introduction of bitwise operations for dense vectors and dense matrices
  • Introduction of uniform and elementwise left/right shift operators
  • Introduction of bitwise AND
  • Introduction of bitwise OR
  • Introduction of bitwise XOR
• Introduction of logical operations for dense vectors and dense matrices
  • Introduction of logical NOT
  • Introduction of logical AND
  • Introduction of logical OR
• Introduction of scalar expansion for vectors and matrices
• 994 new test cases

Blaze 3.5

• Released on February, 26th, 2019
• Introduction of extended element selections
• Introduction of extended row selections
• Introduction of extended column selections
• Introduction of the reverse() functions for vectors and matrices
• Introduction of the UniformVector class template
• Introduction of the UniformMatrix class template
• Introduction of the ZeroVector class template
• Introduction of the ZeroMatrix class template
• Improved compatibility with C++17
• Improved support for Skylake processors
• 1024 new test cases
• Deprecation of the Blazemark

Blaze 3.4

• Released on August, 21st, 2018
• Introduction of vector reduction operations
• Introduction of matrix reduction operations
• Introduction of the sign() function
• Introduction of the softmax() function
• Massive internal refactorings providing ...
  • ... simplified integration of custom vector and matrix types
  • ... improved compile times
• Introduction of the FAQ wiki page
• Introduction of the issue creation guideline wiki page
• 152 new test cases

Blaze 3.3

• Released on February, 11th, 2018
• Introduction of compile time configured views
• Introduction of element selections
• Introduction of row selections
• Introduction of column selections
• Introduction of band views
• Introduction of the HPX shared-memory parallelization backend
• Introduction of the atan2() and hypot() functions
• Introduction of vector norms (norm(), sqrNorm(), l1Norm(), l2Norm(), l3Norm(), l4Norm(), lpNorm(), maxNorm())
• Introduction of matrix norms (norm(), sqrNorm(), l1Norm(), l2Norm(), l3Norm(), l4Norm(), lpNorm(), maxNorm())
• Introduction of the SmallVector class template

Blaze 3.2

• Released on August, 18th, 2017
• Introduction of CMake support
• Introduction of the advanced configuration system
• Introduction of full AVX-512 support
• Introduction of the IdentityMatrix class template
  • Introduction of the declid() function
• Introduction of the componentwise matrix multiplication (Schur product)
• Introduction of binary custom operations
  • Introduction of the binary min() and max() functions
• Removed the ownership semantics from CustomVector and CustomMatrix
• Support for 0-sized StaticVector and StaticMatrix
• Introduction of cross product assignment operators for all vectors
• 1145 new test cases

Blaze 3.1

• Released on February, 18th, 2017
• Improved kernels for large matrix/matrix multiplications
• Introduction of the declsym(), declherm(), decllow(), declupp(), and decldiag() operations
  • Provide optimizations for symmetric matrix/matrix multiplications
  • Provide optimizations for Hermitian matrix/matrix multiplications
  • Provide optimizations for lower or upper triangular matrix/matrix multiplications
  • Provide optimizations for diagonal matrix/matrix multiplications
• Introduction of the eigen() functions for the computation of eigenvalues and eigenvectors
• Introduction of the svd() functions for the singular value decomposition
• Introduction of the trace() function
• Introduction of the evaluate() function
• Introduction of 5 new componentwise operations for vectors and matrices: exp2, exp10, log2, trunc, round
• Introduction of predicate-based erase() functions to all sparse vectors and matrices
• Improved compatibility with OpenBLAS
• Improved compatibility with the Intel compilers
• Renamed the clip() function to clamp()

Blaze 3.0

• Released on August, 24th, 2016
• Upgrade to C++14
• Introduction of vector/vector divisions
• Introduction of custom operations (forEach())
• Introduction of 25 new componentwise operations for vectors and matrices:
  • floor(), ceil()
  • sqrt(), invsqrt()
  • cbrt(), invcbrt()
  • clamp()
  • pow(), exp()
  • log(), log10()
  • sin(), asin(), cos(), acos(), tan(), atan()
  • sinh(), asinh(), cosh(), acosh(), tanh(), atanh()
  • erf(), erfc()
• Introduction of initializer list constructors and assignment operators for dense vectors and matrices
• Support for fused multiply-add (FMA)
• Support for the Intel SVML
• Improved and extended support for AVX-512
• Removal of the direct initialization constructors of StaticVector and StaticMatrix
• Removal of the Dense and Sparse prefix of all views
  • DenseSubvector and SparseSubvector have been merged into the Subvector class template
  • DenseSubmatrix and SparseSubmatrix have been merged into the Submatrix class template
  • DenseRow and SparseRow have been merged into the Row class template
  • DenseColumn and SparseColumn have been merged into the Column class template
• Removal of the byDefault matrix inversion flag
• 114 new test cases

Blaze 2.6

• Released on February, 16th, 2016
• Introduction of BLAS wrapper functions for the matrix/vector and matrix/matrix multiplication
• Introduction of LAPACK wrapper functions for ...
  • ... the LU, Cholesky, LDLT, LDLH, QR, RQ, QL, and LQ decomposition of dense matrices
  • ... the inversion of dense matrices
  • ... the forward/backward substitution of dense matrices
  • ... solving linear systems of equations
• Introduction of the det() function for the computation of the determinant of dense matrices
• Introduction of the CustomVector class template
• Introduction of the CustomMatrix class template

Blaze 2.5

• Released on October, 1st, 2015
• Introduction of Hermitian matrices
• Introduction of the conj() and ctrans() operations
• Introduction of the real() and imag() operations
• Improved kernels for dense matrix/sparse matrix multiplications
• Improved kernels for sparse matrix/dense matrix multiplications
• Vectorization of integral complex numbers
• Introduction of the error reporting customization
• Improved tutorial and wiki
• 664 new test cases

Blaze 2.4

• Released on July, 4th, 2015
• Introduction of unitriangular and strictly triangular matrices
• Introduction of diagonal matrices
• Advanced optimized kernels for triangular matrices
• Improved kernels for dense matrix/matrix multiplications
• 804 new test cases

Blaze 2.3

• Released on March, 11th, 2015
• Introduction of lower and upper triangular matrices
• Optimized kernels for triangular matrices
• Improved kernels for dense matrix/vector multiplications
• 748 new test cases

Blaze 2.2

• Released on December, 3rd, 2014
• Introduction of symmetric matrices
• Improved support for block-structured vectors and matrices

Blaze 2.1

• Released on June, 20th, 2014
• C++11 thread-based shared memory parallelization
• Boost thread-based shared memory parallelization
• Enable the parallel execution of block-structured vectors and matrices
• Introduction of the HybridMatrix class template

Blaze 2.0

• Released on March, 23rd, 2014
• OpenMP-based shared memory parallelization
• Introduction of aligned subvectors and submatrices

Blaze 1.5

• Released on January, 5th, 2014
• Significant performance improvements for various compilers, including GCC-4.7, GCC-4.8 and the Clang compiler

Blaze 1.4

• Released on November, 11th, 2013
• Introduction of subvector and submatrix views
• Switch from the GPL to the BSD license

Blaze 1.3

• Released on July, 28th, 2013
• Support for AVX2 processors
• Performance optimization of several operations (including e.g. outer products)
• Complete vectorization of vector and matrix operations involving std::complex
• Serialization of vectors and matrices

Blaze 1.2

• Released on May, 24th, 2013
• Introduction of row and column views
• Myriads of small changes and improvements

Blaze 1.1

• Released on January, 20th, 2013
• Support for the Intel® MIC architecture
• Introduction of the 3D cross product
• Improved performance of the sparse matrix-matrix multiplication (spMMM)
• Improved support and performance for non-fundamental element types (for instance for block-structured matrices)
• Improved and extended aliasing detection and automatic optimization
• Rework of the random number generation module (for instance for the generation of random vectors and matrices)
• Improved vector and matrix output

Blaze 1.0

• Released on August, 24th, 2012
• Initial release of the Blaze library