Neanderthal - notable changes between versions

0.48.0

• Completely moved CPU engine to JavaCPP (and removed Neanderthal Native)
• Support for sparse matrices
• Support for integers in Fluokitten functions
• More operations supported by integer engines
• Major internal engine re-coding
• Upgrade to CUDA 12.3
• Upgrade to MKL 2024.0

0.47.0

Skipped

0.46.0

• Upgrade CUDA to 11.8.
• Upgrade neanderthal-native MKL native dependency to oneAPI MKL 2022.2 on Linux and Windows, and 2021.1 on Mac (the latest that my mac 10.12 supports).

0.45.0

• Upgrade CUDA to 11.7. It should work with 11.6, too!

0.44.0

• Upgrade CUDA to 11.6.

0.43.0

• Upgrade CUDA to 11.4.

0.42.0

• Fixed a few issues with devices that miss some hardware support for various OpenCL features.

0.38.0

• Upgrade CUDA to 11.0.

0.37.0

• Workaround the bug in Apple's OpenCL driver that doesn't support native_ functions.

0.36.0

• Viewable/view moved to commons.

0.35.0

• Does not require system-wide MKL. Uses binaries provided by the bytedeco jar if present.

0.34.0

• cublas engines support int, long, short, byte, and uint8

0.33.0

• New vect-math functions: exp2, exp10, log2, and log1p
• Fix short and byte engine crash.

0.32.0

• Enable submatrix of (tri)diagonal matrix when appropriate.

0.31.0

• Fix regression in core.rk! caused by 0.30.0 update.

0.30.0

• New function mmt! for symmetric matrix multiply with its transpose (faster than mm!).
• Support for symmetric rk! of a vector with its transpose.

0.29.0

• Support mapping a vector to a file channel.
• Support int, long, short, and byte vectors.

0.28.0

• Fix a subtle CUDA vect-math return object bug.

0.27.0

• Support CUDA 10.2.0
• A bunch of bugfixes provided by Kamil Toman (katox).

0.26.0

• view and view-* behavior made more consistent.

0.25.0

• Random number generation of vector entries with uniformly and normally distributed numbers.
• Renamed aux to auxil to work around a Windows bug of not allowing files named aux.

0.23.0

• Added copy-sign, ramp, step, and sigmoid functions to math and vect-math (MKL, CUDA, OpenCL)

0.22.0

• Introduced the Viewable/view protocol and view function (interop).
• CLBlast bumped to 1.5.0/

0.21.0

• Clojure upgraded to 1.10.
• Misc bugfixes.

0.20.0

• SDD available as a SVD implementation.
• Eigenvalues and eigenvectors computing available for symmetric matrices.
• Fluokitten performance regression (introduced in 0.18.0) fixed.
• Fluokitten support in non-double objects.
• Fluokitten accepts non-primitive function for Neanderthal objects.
• Custom non-blas sum function sped up on CPU.
• JCublas upgraded to 0.9.2.

0.19.0

• Support explicit stream in memcpy.
• CUDA engine uses explicit context.
• sum support in CUDA matrices.
• TRSV in OpenCL matrices.
• CLBlast dependency updated to 1.3.0. Context creation for OpenCL is much faster now.
• Vertigo dependency removed.
• view-ge supports arbitrary dimensions now.
• ge supports nested sequence as source for its rows.

0.18.1

• Added FlowProvider/flow to internal core.

0.18.0

• Updated to Java 9 modules. Requires add-open jvm argument if run with JDK 9+.
• Clojure dep updated to 1.9.0.
• Upgrades JCuda dependency to 0.9.0, supports CUDA 9.
• Core constructors accept any factory provider as factory.
• GPU objects are safe to print after the factory has been released.

0.17.2

• Fix the uplo_modf bug (#33).

0.17.1

• Upgraded JOCLBlast dependency to 1.2.0.

0.17.0

New features

• Vectorized mathematical functions (cca 50 pieces in the vect-math namespace).
• New functions in the math namespace to support scalar equivalents of vect-math functions.
• Schur decomposition!

Enhancements

• JOCLBlast engine upgraded to 1.1.0.
• CUDA implementation of SY matrices.
• OpenCL implementation of SY matrices.

0.16.1

Bugfixes

• Fixed call with wrong number of arguments for the transpose of OrthogonalFactorization.

0.16.0

New features

• Diagonal matrices (GD)
• Tridiagonal matrices (GT)
• Diagonally dominant tridiagonal matrices (DT)
• Symmetric tridiagonal matrices (ST)

Enhancements

• Updated JOCLBlast dependency to 1.0.1.
• Orthogonal factorizations greatly simplified
• Symmetric and triangular mm support more layout and a/b position variations.
• Upgraded Intel MKL to 2018 (it should work with earlier versions, but YMMV).

Breaking changes

• New simplified orthogonal factorization related functions replace the old api in linalg.

Bugfixes

• Fixed TR and SY mm and mv when k=0.
• Fixed transpose implementations in various non-GE matrices.

0.15.0

New features

• Symmetric matrices (SY)
• Banded matrices (GB, TB, SB)
• Packed matrices (TP, SP)

Enhancements

• Better printing
• Fluokitten protocols supported by all matrix types.
• Overhaul of internals that opens easier path for new matrix types and specialized engines.
• Automatized triangular factorizations and solvers.

Breaking changes

• :order replaced by :layout in matrix options.

Fixes

• Fix #29 - OpenCL engine does not try to load CUDA-related stuff any more.

0.14.0

Breaking changes:

• tr* work with LUFactorization instead of GEMatrix.

New features:

• Matrix inverse.
• Condition number.
• Pure tr* methods.

Enhancements

• Improved TRMatrix printing.

0.13.0

• Support for chained matrix multiplication in mm.

0.12.0

• Support for inverting matrices through trf/tri.

0.11.0

New features:

• CUDA/cuBLAS based engine (requires CUDA toolkit).
• Additional methods from Blas supported by matrices.

0.10.0

New features:

• Added aux namespace for auxiliary functions.
• Sorting of vectors, GE, and TR host matrices.
• Bulk alter! method added.
• view-vctr and view-ge support stride multiplier.

Enhancements

• set-all accepts NaN
• CL factories implement FactoryProvider.

0.9.0

New features:

• Linear algebra functions (LAPACK).
• Support for TR matrices.
• Pretty-printing
• GE and TR support some more BLAS-1 functions.

Enhancements

• Cheat Sheet in the docs.
• Updated JOCLBlast dependency to 0.10.0.
• Updated Fluokitten dependency to 0.6.0.
• Internal api and implementations made more straightforward.

Breaking changes:

• Naming scheme changed from single to float for single-precision structures.
• sv and sge from the native namespace renamed to fv and fge.
• core constructor functions changed from create to vctr, ge, tr, etc.
• Core constructors no longer accept raw buffers.

0.8.0

Changes

• Removed the amd-gcn engine. Use clblast engine instead.

Enhancements

• The native part is now compiled for Linux, MacOX AND Windows
• one-argument pow function added.
• native-factory method added to FactoryProvider protocol.
• factories and data accessors implement the compatible method.
• Updated JOCLBlast dependency to 0.9.0.

Bugfixes

• Attempting (create -m -n) now throws IllegalArgumentException
• Fixed a sum bug in native implementation when stride is not 1.

0.7.0

New features:

• scal implementation for matrices.

Bugfixes:

• Fixed a Buffer.limit bug in subvector and submatrix.
• Fixes #15

Enhancements

• native function in core
• one-argument fold now use sum instead of looping.
• Updated JOCLBlast dependency to 0.8.0 (also fixes #15)

0.6.2

• Updated ClojureCL dependency to 0.6.4

0.6.1

• Updated ClojureCL dependency to 0.6.3

0.6.0

New features

• Completely new OpenCL engine for GPU matrix computing - **supports AMD, Nvidia, and Intel, on Linux, Windows, and OSX
• Support Fluokitten's Monoid and Magma in vectors and matrices
• transfer method in core that always transfers data to host memory

Changes

• opencl methods renamed
• default OpenCL engine changed to clblast
• old amd-gcn engine deprecated

0.5.0

New features

• Streamlined dependencies: no longer need 2 dependencies in project files. The dependency on uncomplicate/neanderthal is enough
• Comes with Mac OS X build out of the box. No need even for external ATLAS.
• release and with-release moved from ClojureCL to uncomplicate/commons
• Support for Fluokitten's fmap!, fmap, fold, foldmap, op...

0.4.0

New features

• Streamlined factory-based constructors in core.
• OpenCL vectors and matrices now support equality comparisons, offsets, strides, subvectors, and submatrices. Matrices now can be swapped and copied.

Changes

• OpenCL read! and write! replaced with generic transfer! multimethod that supports a much wider area of memory types to move data to and from.
• A large number of internal implementation changes that should not affect end users (other than as removing bugs).
• Several important bugfixes (see git commit history).

0.3.0

New features

• Support for pluggable BLAS engines
• GPU computing engine based on OpenCL (kernels optimized for AMD for now)

Changes

• Reorganized namespaces - now almost complete public API is in the core namespace
• Changed the order of parameters in axpy!, mv! and mm! (and their variants)

0.2.0

New features

• implemented BLAS support for floats
• implemented fmap!, freduce, and fold functions for all existing types of matrices and vectors

Changes

No API changes were required for these features.