Source: rocsparse Section: devel Homepage: https://github.com/ROCm/rocSPARSE Priority: optional Standards-Version: 4.6.2 Vcs-Git: https://salsa.debian.org/rocm-team/rocsparse.git Vcs-Browser: https://salsa.debian.org/rocm-team/rocsparse Maintainer: Debian ROCm Team Uploaders: Maxime Chambonnet , Cordell Bloor , Étienne Mollier , Christian Kastner , Build-Depends: debhelper-compat (= 13), cmake, gfortran, hipcc (>= 5.6.1~), libamd-comgr-dev (>= 6.0~), libhsa-runtime-dev (>= 5.7.1~), rocm-cmake (>= 5.3.0), librocprim-dev (>= 5.5.1~), python3, python3-yaml, libgtest-dev , Build-Depends-Indep: dh-sequence-sphinxdoc , doxygen , python3-breathe , python3-sphinx , python3-sphinx-rtd-theme , libjs-jquery , libjs-mathjax , libjs-sphinxdoc , libjs-underscore Rules-Requires-Root: no Package: librocsparse0 Section: libs Architecture: amd64 arm64 ppc64el Depends: ${misc:Depends}, ${shlibs:Depends}, Description: ROCm library for sparse linear algebra - library rocSPARSE is a library that implements BLAS operations for sparse data structures. It is built on the AMD ROCm platform and optimized for discrete AMD GPUs. . rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and sparse level 3 BLAS functions, as well as general matrix multiplication between dense and sparse matricies (GEMMI), sparse preconditioner functions, sparse matrix format conversion functions, and sparse matrix reordering functions. . It supports a variety of sparse matrix formats, including coordinate list in either array of structure form (COO) or structure of array form (COO SOA), compressed sparse row (CSR) or column (CSC), block compressed sparse row (BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK format (ELL). . This package provides the AMD ROCm rocSPARSE library. Package: librocsparse-dev Section: libdevel Architecture: amd64 arm64 ppc64el Depends: librocsparse0 (= ${binary:Version}),${misc:Depends}, ${shlibs:Depends}, Recommends: libamdhip64-dev Suggests: librocsparse-doc Description: ROCm library for sparse linear algebra - headers rocSPARSE is a library that implements BLAS operations for sparse data structures. It is built on the AMD ROCm platform and optimized for discrete AMD GPUs. . rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and sparse level 3 BLAS functions, as well as general matrix multiplication between dense and sparse matricies (GEMMI), sparse preconditioner functions, sparse matrix format conversion functions, and sparse matrix reordering functions. . It supports a variety of sparse matrix formats, including coordinate list in either array of structure form (COO) or structure of array form (COO SOA), compressed sparse row (CSR) or column (CSC), block compressed sparse row (BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK format (ELL). . This package provides the AMD ROCm rocSPARSE development headers. Package: librocsparse0-tests Section: libdevel Architecture: amd64 arm64 ppc64el Build-Profiles: Depends: librocsparse0 (= ${binary:Version}),${misc:Depends}, ${shlibs:Depends}, librocsparse0-tests-data Description: ROCm library for sparse linear algebra - tests rocSPARSE is a library that implements BLAS operations for sparse data structures. It is built on the AMD ROCm platform and optimized for discrete AMD GPUs. . rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and sparse level 3 BLAS functions, as well as general matrix multiplication between dense and sparse matricies (GEMMI), sparse preconditioner functions, sparse matrix format conversion functions, and sparse matrix reordering functions. . It supports a variety of sparse matrix formats, including coordinate list in either array of structure form (COO) or structure of array form (COO SOA), compressed sparse row (CSR) or column (CSC), block compressed sparse row (BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK format (ELL). . This package provides the AMD ROCm rocSPARSE test binaries used for verifying that the library is functioning correctly. These binaries are only used to check whether rocSPARSE works correctly on a given GPU, so generally speaking, users probably don't need this package. Package: librocsparse0-tests-data Section: libdevel Architecture: all Build-Profiles: Depends: ${misc:Depends}, Description: ROCm library for sparse linear algebra - test data rocSPARSE is a library that implements BLAS operations for sparse data structures. It is built on the AMD ROCm platform and optimized for discrete AMD GPUs. . rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and sparse level 3 BLAS functions, as well as general matrix multiplication between dense and sparse matricies (GEMMI), sparse preconditioner functions, sparse matrix format conversion functions, and sparse matrix reordering functions. . It supports a variety of sparse matrix formats, including coordinate list in either array of structure form (COO) or structure of array form (COO SOA), compressed sparse row (CSR) or column (CSC), block compressed sparse row (BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK format (ELL). . This package provides the data files required by the AMD ROCm rocSPARSE tests. The tests are only used to check whether rocSPARSE works correctly on a given GPU, so generally speaking, users probably don't need this package. Package: librocsparse-doc Section: doc Architecture: all Multi-Arch: foreign Build-Profiles: Depends: ${misc:Depends}, ${sphinxdoc:Depends}, libjs-mathjax, Replaces: librocsparse-dev (<< 5.7.1-3~) Breaks: librocsparse-dev (<< 5.7.1-3~) Description: ROCm library for sparse linear algebra - documentation rocSPARSE is a library that implements BLAS operations for sparse data structures. It is built on the AMD ROCm platform and optimized for discrete AMD GPUs. . rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and sparse level 3 BLAS functions, as well as general matrix multiplication between dense and sparse matricies (GEMMI), sparse preconditioner functions, sparse matrix format conversion functions, and sparse matrix reordering functions. . It supports a variety of sparse matrix formats, including coordinate list in either array of structure form (COO) or structure of array form (COO SOA), compressed sparse row (CSR) or column (CSC), block compressed sparse row (BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK format (ELL). . This package provides the AMD ROCm rocSPARSE documentation.