Full documentation for rocSOLVER is available at the rocSOLVER documentation.
- Application of a sequence of plane rotations to a given matrix
- LASR
- 64-bit APIs for existing functions:
- LACGV_64
- LARF_64
- LARFG_64
- GEQR2_64 (with batched and strided_batched versions)
- GEQRF_64 (with batched and strided_batched versions)
- POTF2_64 (with batched and strided_batched versions)
- POTRF_64 (with batched and strided_batched versions)
- POTRS_64 (with batched and strided_batched versions)
- Support added for the gfx1151, gfx1200, and gfx1201 architectures
- The rocSPARSE library is now an optional dependency at runtime. If rocSPARSE
is not available, rocSOLVER's sparse refactorization and solvers functions
will return
rocblas_status_not_implemented
.
- Improved the performance of LARFG, LARF, and downstream functions such as GEQR2 and GEQRF on wave64 architectures
- Improved the performance of BDSQR and GESVD
- Improved the performance of STEDC and divide and conquer Eigensolvers
- Fixed a memory allocation issue in SYEVJ that could cause failures on clients that manage their own memory
- Fixed a synchronizarion issue with SYEVJ that could lead to a convergence failure for large matrices
- Fixed a convergence issue in STEIN stemming from numerical orthogonality of the initial choice of eigenvectors
- Fixed synchronization issue in STEIN
- A known issue in STEBZ can lead to errors in routines based on bisection to compute eigenvalues for symmetric/hermitian matrices (for example, SYEVX/HEEVX and SYGVX/HEGVX), as well as singular values (for example, BDSVDX and GESVDX).
- 64-bit APIs for existing functions:
- GETF2_64 (with batched and strided_batched versions)
- GETRF_64 (with batched and strided_batched versions)
- GETRS_64 (with batched and strided_batched versions)
- Added gfx900 to default build targets.
- Partial eigenvalue decomposition routines for symmetric/hermitian matrices using Divide & Conquer and Bisection:
- SYEVDX (with batched and strided_batched versions)
- HEEVDX (with batched and strided_batched versions)
- Partial generalized symmetric/hermitian-definite eigenvalue decomposition using Divide & Conquer and Bisection:
- SYGVDX (with batched and strided_batched versions)
- HEGVDX (with batched and strided_batched versions)
- Renamed install script arguments of the form *_dir to *-path. Arguments of the form *_dir remain functional for backwards compatibility.
- Functions working with arrays of size n - 1 can now accept null pointers when n = 1.
- Improved performance of Cholesky factorization.
- Improved performance of splitlu to extract the L and U triangular matrices from the result of sparse factorization matrix M, where M = (L - eye) + U.
- Fixed potential accuracy degradation in SYEVJ/HEEVJ for inputs with small eigenvalues.
- Eigensolver routines for symmetric/hermitian matrices using Divide & Conquer and Jacobi algorithm:
- SYEVDJ (with batched and strided_batched versions)
- HEEVDJ (with batched and strided_batched versions)
- Generalized symmetric/hermitian-definite eigensolvers using Divide & Conquer and Jacobi algorithm:
- SYGVDJ (with batched and strided_batched versions)
- HEGVDJ (with batched and strided_batched versions)
- Relaxed array length requirements for GESVDX with
rocblas_srange_index
.
- Removed gfx803 and gfx900 from default build targets.
- Corrected singular vector normalization in BDSVDX and GESVDX
- Fixed potential memory access fault in STEIN, SYEVX/HEEVX, SYGVX/HEGVX, BDSVDX and GESVDX
- Cholesky refactorization for sparse matrices
- CSRRF_REFACTCHOL
- Added
rocsolver_rfinfo_mode
and the ability to specify the desired refactorization routine (seerocsolver_set_rfinfo_mode
).
- CSRRF_ANALYSIS and CSRRF_SOLVE now support sparse Cholesky factorization
- LU factorization without pivoting for block tridiagonal matrices:
- GEBLTTRF_NPVT now supports interleaved_batched format
- Linear system solver without pivoting for block tridiagonal matrices:
- GEBLTTRS_NPVT now supports interleaved_batched format
- Fixed stack overflow in sparse tests on Windows
- Changed rocsolver-test sparse input data search paths to be relative to the test executable
- Changed build scripts to default to compressed debug symbols in Debug builds
- LU refactorization for sparse matrices
- CSRRF_ANALYSIS
- CSRRF_SUMLU
- CSRRF_SPLITLU
- CSRRF_REFACTLU
- Linear system solver for sparse matrices
- CSRRF_SOLVE
- Added type
rocsolver_rfinfo
for use with sparse matrix routines
- Improved the performance of BDSQR and GESVD when singular vectors are requested
- Improved the performance of sorting algorithms used in different eigensolvers
- BDSQR and GESVD should no longer hang when the input contains
NaN
orInf
- SVD for general matrices using Jacobi algorithm:
- GESVDJ (with batched and strided_batched versions)
- LU factorization without pivoting for block tridiagonal matrices:
- GEBLTTRF_NPVT (with batched and strided_batched versions)
- Linear system solver without pivoting for block tridiagonal matrices:
- GEBLTTRS_NPVT (with batched and strided_batched versions)
- Product of triangular matrices
- LAUUM
- Added experimental hipGraph support for rocSOLVER functions
- Improved the performance of SYEVJ/HEEVJ.
- STEDC, SYEVD/HEEVD and SYGVD/HEGVD now use fully implemented Divide and Conquer approach.
- SYEVJ/HEEVJ should now be invariant under matrix scaling.
- SYEVJ/HEEVJ should now properly output the eigenvalues when no sweeps are executed.
- Fixed GETF2_NPVT and GETRF_NPVT input data initialization in tests and benchmarks.
- Fixed rocblas missing from the dependency list of the rocsolver deb and rpm packages.
- Partial SVD for bidiagonal matrices:
- BDSVDX
- Partial SVD for general matrices:
- GESVDX (with batched and strided_batched versions)
- Changed
ROCSOLVER_EMBED_FMT
default toON
for users building directly with CMake. This matches the existing default when building with install.sh or rmake.py.
- Partial eigensolver routines for symmetric/hermitian matrices:
- SYEVX (with batched and strided_batched versions)
- HEEVX (with batched and strided_batched versions)
- Generalized symmetric- and hermitian-definite partial eigensolvers:
- SYGVX (with batched and strided_batched versions)
- HEGVX (with batched and strided_batched versions)
- Eigensolver routines for symmetric/hermitian matrices using Jacobi algorithm:
- SYEVJ (with batched and strided_batched versions)
- HEEVJ (with batched and strided_batched versions)
- Generalized symmetric- and hermitian-definite eigensolvers using Jacobi algorithm:
- SYGVJ (with batched and strided_batched versions)
- HEGVJ (with batched and strided_batched versions)
- Added --profile_kernels option to rocsolver-bench, which will include kernel calls in the profile log (if profile logging is enabled with --profile).
- Changed rocsolver-bench result labels
cpu_time
andgpu_time
tocpu_time_us
andgpu_time_us
, respectively.
- Removed dependency on cblas from the rocsolver test and benchmark clients.
- Fixed incorrect SYGS2/HEGS2, SYGST/HEGST, SYGV/HEGV, and SYGVD/HEGVD results for batch counts larger than 32.
- Fixed STEIN memory access fault when nev is 0.
- Fixed incorrect STEBZ results for close eigenvalues when range = index.
- Fixed git unsafe repository error when building with
./install.sh -cd
as a non-root user.
- Partial eigenvalue decomposition routines:
- STEBZ
- STEIN
- Package generation for test and benchmark executables on all supported OSes using CPack.
- Added tests for multi-level logging
- Added tests for rocsolver-bench client
- File/Folder Reorg
- Added File/Folder Reorg Changes with backward compatibility support using ROCM-CMAKE wrapper functions.
- Fixed compatibility with libfmt 8.1
- Optimized non-pivoting and batch cases of the LU factorization
- Fixed missing synchronization in SYTRF with
rocblas_fill_lower
that could potentially result in incorrect pivot values. - Fixed multi-level logging output to file with the
ROCSOLVER_LOG_PATH
,ROCSOLVER_LOG_TRACE_PATH
,ROCSOLVER_LOG_BENCH_PATH
andROCSOLVER_LOG_PROFILE_PATH
environment variables. - Fixed performance regression in the batched LU factorization of tiny matrices
- Symmetric matrix factorizations:
- LASYF
- SYTF2, SYTRF (with batched and strided_batched versions)
- Added
rocsolver_get_version_string_size
to help with version string queries - Added
rocblas_layer_mode_ex
and the ability to print kernel calls in the trace and profile logs - Expanded batched and strided_batched sample programs.
- Improved general performance of LU factorization
- Increased parallelism of specialized kernels when compiling from source, reducing build times on multi-core systems.
- The rocsolver-test client now prints the rocSOLVER version used to run the tests, rather than the version used to build them
- The rocsolver-bench client now prints the rocSOLVER version used in the benchmark
- Added missing stdint.h include to rocsolver.h
- Eigensolver routines for symmetric/hermitian matrices using Divide and Conquer algorithm:
- STEDC
- SYEVD (with batched and strided_batched versions)
- HEEVD (with batched and strided_batched versions)
- Generalized symmetric- and hermitian-definite eigensolvers using Divide and Conquer algorithm:
- SYGVD (with batched and strided_batched versions)
- HEGVD (with batched and strided_batched versions)
- Added --mem_query option to rocsolver-bench, which will print the amount of device memory required by a function.
- Added --profile option to rocsolver-bench, which will print profile logging results for a function.
- RQ factorization routines:
- GERQ2, GERQF (with batched and strided_batched versions)
- Linear solvers for general square systems:
- GESV (with batched and strided_batched versions)
- Linear solvers for symmetric/hermitian positive definite systems:
- POTRS (with batched and strided_batched versions)
- POSV (with batched and strided_batched versions)
- Inverse of symmetric/hermitian positive definite matrices:
- POTRI (with batched and strided_batched versions)
- General matrix inversion without pivoting:
- GETRI_NPVT (with batched and strided_batched versions)
- GETRI_NPVT_OUTOFPLACE (with batched and strided_batched versions)
- Improved performance of LU factorization (especially for large matrix sizes)
- The -h option of install.sh now prints a help message, instead of doing nothing.
- libfmt 7.1 is now a dependency
- Raised minimum requirement for building rocSOLVER from source to CMake 3.13
- Raised reference LAPACK version used for rocSOLVER test and benchmark clients to v3.9.1
- Minor CMake improvements for users building from source without install.sh:
- Removed fmt::fmt from rocsolver's public usage requirements
- Enabled small-size optimizations by default
- Split packaging into a runtime package ('rocsolver') and a development package ('rocsolver-devel'). The development package depends on the runtime package. To aid in the transition, the runtime package suggests the development package (except on CentOS 7). This use of the suggests feature is deprecated and will be removed in a future ROCm release.
- Use of the GCC / Clang
__attribute__((deprecated(...)))
extension is now guarded by compiler detection macros.
- Linear solvers for general non-square systems:
- GELS now supports underdetermined and transposed cases
- Inverse of triangular matrices
- TRTRI (with batched and strided_batched versions)
- Out-of-place general matrix inversion
- GETRI_OUTOFPLACE (with batched and strided_batched versions)
- Improved general performance of matrix inversion (GETRI)
- Argument names for the benchmark client now match argument names from the public API
- Fixed known issues with Thin-SVD. The problem was identified in the test specification, not in the thin-SVD implementation or the rocBLAS gemm_batched routines.
- Benchmark client will no longer crash as a result of leading dimension or stride arguments not being provided on the command line.
- Multi-level logging functionality
- Implementation of the Thin-SVD algorithm
- Reductions of generalized symmetric- and hermitian-definite eigenproblems:
- SYGS2, SYGST (with batched and strided_batched versions)
- HEGS2, HEGST (with batched and strided_batched versions)
- Symmetric and hermitian matrix eigensolvers:
- SYEV (with batched and strided_batched versions)
- HEEV (with batched and strided_batched versions)
- Generalized symmetric- and hermitian-definite eigensolvers:
- SYGV (with batched and strided_batched versions)
- HEGV (with batched and strided_batched versions)
- Sorting method in STERF as original quick-sort was failing for large sizes.
- Removed hcc compiler support
- Fixed GELS overwriting B even when info != 0
- Error when calling STEQR with n=1 from batched routines
- Added
roc::rocblas
to theroc::rocsolver
CMake usage requirements - Added rocblas to the dependency list of the rocsolver deb and rpm packages
- Fixed rocblas symbol loading with dlopen and the
RTLD_NOW | RTLD_LOCAL
options
- Thin-SVD implementation is failing in some cases (in particular m=300, n=120) due to a possible bug in the gemm_batched routines of rocBLAS.
- Eigensolver routines for symmetric/hermitian matrices:
- STERF, STEQR
- Linear solvers for general non-square systems:
- GELS (API added with batched and strided_batched versions. Only the overdetermined
non-transpose case is implemented in this release. Other cases will return
rocblas_status_not_implemented
status for now.)
- GELS (API added with batched and strided_batched versions. Only the overdetermined
non-transpose case is implemented in this release. Other cases will return
- Extended test coverage for functions returning info
- Changelog file
- Tridiagonalization routines for symmetric and hermitian matrices:
- LATRD
- SYTD2, SYTRD (with batched and strided_batched versions)
- HETD2, HETRD (with batched and strided_batched versions)
- Sample code and unit test for unified memory model/Heterogeneous Memory Management (HMM)
- Improved performance of LU factorization of small and mid-size matrices (n <= 2048)
- Raised minimum requirement for building rocSOLVER from source to CMake 3.8
- Switched to use semantic versioning for the library
- Enabled automatic reallocation of memory workspace in rocsolver clients
- Removed
-DOPTIMAL
from theroc::rocsolver
CMake usage requirements. This is an internal rocSOLVER definition, and does not need to be defined by library users
- Fixed runtime errors in debug mode caused by incorrect kernel launch bounds
- Fixed complex unit test bug caused by incorrect zaxpy function signature
- Eliminated a small memory transfer that was being done on the default stream
- Fixed GESVD right singular vectors for 1x1 matrices
- Orthonormal/Unitary matrix generator routines (reverse order):
- ORG2L, UNG2L, ORGQL, UNGQL
- ORGTR, UNGTR
- Orthonormal/Unitary matrix multiplications routines (reverse order):
- ORM2L, UNM2L, ORMQL, UNMQL
- ORMTR, UNMTR
- Major library refactoring to adopt rocBLAS memory model
- Returned values in parameter info of functions dealing with singularities
- Improved debug build mode for developers
- QL factorization routines:
- GEQL2, GEQLF (with batched and strided_batched versions)
- SVD of general matrices routines:
- GESVD (with batched and strided_batched versions)
- Improved performance of mid-size matrix inversion (64 < n <= 2048)
- Sample codes for C, C++ and FORTRAN
- LU factorization without pivoting routines:
- GETF2_NPVT, GETRF_NPVT (with batched and strided_batched versions)
- Improved performance of LU factorization of mid-size matrices (64 < n <= 2048)
- Improved performance of small-size matrix inversion (n <= 64)
- Ensure the public API is C compatible
- LU-factorization-based matrix inverse routines:
- GETRI (with batched and strided_batched versions)
- SVD of bidiagonal matrices routine:
- BDSQR
- Ensure congruency on the input data when executing performance tests (benchmarks)
- Complex precision support for all existing rocSOLVER functions
- Bidiagonalization routines:
- LABRD
- GEBD2, GEBRD (with batched and strided_batched versions)
- Integration of rocSOLVER to hipBLAS
- Improved performance of LU factorization of tiny matrices (n <= 64)
- Major clients refactoring to achieve better test coverage and benchmarking
- Installation script and new build procedure
- Documentation and integration with ReadTheDocs
- Orthonormal matrix multiplication routines:
- ORM2R, ORMQR
- ORML2, ORMLQ
- ORMBR
- Switched to use all rocBLAS types and enumerations
- Major library refactoring to achieve better integration and rocBLAS support
- hip-clang is now default compiler
- rocSOLVER types and enumerations
- hcc compiler support