amd : Library to order a sparse matrix prior to Cholesky factorization ( https://people.engr.tamu.edu/davis/suitesparse.html )
ausaxs : Efficient small-angle X-ray scattering (SAXS) fitting and analysis ( https://github.com/AUSAXS/AUSAXS )
camd : Library to order a sparse matrix prior to Cholesky factorization ( https://people.engr.tamu.edu/davis/suitesparse.html )
ccolamd : Constrained Column approximate minimum degree ordering algorithm ( https://people.engr.tamu.edu/davis/suitesparse.html )
cholmod : Sparse Cholesky factorization and update/downdate library ( https://people.engr.tamu.edu/davis/suitesparse.html )
colamd : Column approximate minimum degree ordering algorithm ( https://people.engr.tamu.edu/davis/suitesparse.html )
composable-kernel : High Performance Composable Kernel for AMD GPUs ( https://github.com/ROCm/composable_kernel )
dlpack : Common in-memory tensor structure ( https://github.com/dmlc/dlpack )
faiss : Library for efficient similarity search and clustering of dense vectors ( HOMEPAGE=" )
hdf : General purpose library and format for storing scientific data ( https://www.hdfgroup.org/solutions/hdf4/ https://github.com/HDFGroup/hdf4 )
hipBLAS : ROCm BLAS marshalling library ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipblas )
hipBLAS-common : Common files shared by hipBLAS and hipBLASLt ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipblas-common )
hipBLASLt : General matrix-matrix operations library for AMD Instinct accelerators ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipblaslt )
hipCUB : Wrapper of rocPRIM or CUB for GPU parallel primitives ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipcub )
hipFFT : CU / ROCM agnostic hip FFT implementation ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipfft )
hipRAND : CU / ROCM agnostic hip RAND implementation ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hiprand )
hipSOLVER : CU / ROCM agnostic marshalling library for LAPACK routines on the GPU ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipsolver )
hipSPARSE : ROCm SPARSE marshalling library ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipsparse )
hipsparselt : Sparse GEMM operations library for AMD Instinct accelerators ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/hipsparselt )
libformfactor : Computes Fourier shape transforms (form factors) for BornAgain ( https://jugit.fz-juelich.de/mlz/libformfactor )
libheinz : Header-only C++ vector/rotation primitives used by MLZ scientific software ( https://jugit.fz-juelich.de/mlz/libheinz )
miopen : AMD's Machine Intelligence Library ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/miopen )
nexus : Data format for neutron and x-ray scattering data ( https://www.nexusformat.org/ )
onnxruntime : Cross-platform, high performance ML inferencing and training accelerator ( HOMEPAGE=" )
pgplot : FORTRAN/C device-independent scientific graphic library ( https://sites.astro.caltech.edu/~tjp/pgplot/ )
pycifrw : Reading and writing CIF (Crystallographic Information Format) files ( https://pypi.org/project/PyCifRW/ https://github.com/jamesrhester/pycifrw/ )
rocBLAS : AMD's library for BLAS on ROCm ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/rocblas )
rocFFT : Next generation FFT implementation for ROCm ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/rocfft )
rocPRIM : HIP parallel primitives for developing performant GPU-accelerated code on ROCm ( https://github.com/ROCm/rocm-libraries/tree/develop/projects/rocprim )
rocRAND : Generate pseudo-random and quasi-random numbers ( https://github.com/ROCm/rocRAND )
rocSOLVER : Implementation of a subset of LAPACK functionality on the ROCm platform ( https://github.com/ROCm/rocSOLVER )
rocSPARSE : Basic Linear Algebra Subroutines for sparse computation ( https://github.com/ROCm/rocSPARSE )
rocThrust : HIP back-end for the parallel algorithm library Thrust ( https://github.com/ROCm/rocThrust )
suitesparseconfig : Common configurations for all packages in suitesparse ( https://people.engr.tamu.edu/davis/suitesparse.html )
umfpack : Unsymmetric multifrontal sparse LU factorization library ( https://people.engr.tamu.edu/davis/suitesparse.html )
Add an ebuild in portage :
The ebuild is now in the portage tree.
You can also use layman : emerge layman then layman -a stuff
For Paludis use this rsync : rsync://gentoo.zugaina.org/stuff-portage
If you have a problem : ycarus(-at-)zugaina.org