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Source: magma-rocm
Section: math
Homepage: https://icl.cs.utk.edu/magma/
Priority: optional
Standards-Version: 4.7.0
Vcs-Git: https://salsa.debian.org/science-team/magma.git
Vcs-Browser: https://salsa.debian.org/science-team/magma
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>,
Cordell Bloor <cgmb@debian.org>
Build-Depends: debhelper-compat (= 13),
cmake,
gfortran,
hipcc,
libhipblas-dev,
libhipsparse-dev,
libopenblas-dev,
librocblas-dev,
librocsparse-dev,
pkg-rocm-tools (>= 0.9.3)
Build-Depends-Indep: doxygen
Package: libmagma2-rocm
Section: libs
Architecture: amd64 arm64 ppc64el
Multi-Arch: no
XB-X-ROCm-GPU-Architecture: ${rocm:GPU-Architecture}
Depends: ${misc:Depends}, ${shlibs:Depends}
Breaks: libmagma2
Replaces: libmagma2
Description: Matrix Algebra on GPU and Multicore Architectures (solib)
The MAGMA project aims to develop a dense linear algebra library similar to
LAPACK but for heterogeneous/hybrid architectures, starting with current
"Multicore+GPU" systems.
.
The MAGMA research is based on the idea that, to address the complex challenges
of the emerging hybrid environments, optimal software solutions will themselves
have to hybridize, combining the strengths of different algorithms within a
single framework. Building on this idea, we aim to design linear algebra
algorithms and frameworks for hybrid manycore and GPU systems that can enable
applications to fully exploit the power that each of the hybrid components
offers.
.
This package contains the shared object libmagma.so.2 as built for the
AMD ROCm backend.
Package: libmagma-sparse2-rocm
Section: libs
Architecture: amd64 arm64 ppc64el
Multi-Arch: no
Depends: ${misc:Depends}, ${shlibs:Depends}
Breaks: libmagma-sparse2
Replaces: libmagma-sparse2
Description: Matrix Algebra on GPU and Multicore Architectures (solib, sparse)
The MAGMA project aims to develop a dense linear algebra library similar to
LAPACK but for heterogeneous/hybrid architectures, starting with current
"Multicore+GPU" systems.
.
The MAGMA research is based on the idea that, to address the complex challenges
of the emerging hybrid environments, optimal software solutions will themselves
have to hybridize, combining the strengths of different algorithms within a
single framework. Building on this idea, we aim to design linear algebra
algorithms and frameworks for hybrid manycore and GPU systems that can enable
applications to fully exploit the power that each of the hybrid components
offers.
.
This package contains the shared object libmagma_sparse.so.2 as built for the
AMD ROCm backend.
Package: libmagma-rocm-dev
Section: libdevel
Architecture: amd64 arm64 ppc64el
Multi-Arch: no
Depends: ${misc:Depends}, ${shlibs:Depends},
libmagma2-rocm (= ${binary:Version}), libmagma-sparse2-rocm (= ${binary:Version}),
Breaks: libmagma-dev
Replaces: libmagma-dev
Description: Matrix Algebra on GPU and Multicore Architectures (dev)
The MAGMA project aims to develop a dense linear algebra library similar to
LAPACK but for heterogeneous/hybrid architectures, starting with current
"Multicore+GPU" systems.
.
The MAGMA research is based on the idea that, to address the complex challenges
of the emerging hybrid environments, optimal software solutions will themselves
have to hybridize, combining the strengths of different algorithms within a
single framework. Building on this idea, we aim to design linear algebra
algorithms and frameworks for hybrid manycore and GPU systems that can enable
applications to fully exploit the power that each of the hybrid components
offers.
.
This package contains the headers and the static libraries.
Package: libmagma-rocm-test
Architecture: amd64 arm64 ppc64el
Multi-Arch: no
Depends: ${misc:Depends}, ${shlibs:Depends}, python3
Description: Matrix Algebra on GPU and Multicore Architectures (tests)
The MAGMA project aims to develop a dense linear algebra library similar to
LAPACK but for heterogeneous/hybrid architectures, starting with current
"Multicore+GPU" systems.
.
The MAGMA research is based on the idea that, to address the complex challenges
of the emerging hybrid environments, optimal software solutions will themselves
have to hybridize, combining the strengths of different algorithms within a
single framework. Building on this idea, we aim to design linear algebra
algorithms and frameworks for hybrid manycore and GPU systems that can enable
applications to fully exploit the power that each of the hybrid components
offers.
.
This package contains the test executables.
Package: libmagma-rocm-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}
Description: Matrix Algebra on GPU and Multicore Architectures (doc)
The MAGMA project aims to develop a dense linear algebra library similar to
LAPACK but for heterogeneous/hybrid architectures, starting with current
"Multicore+GPU" systems.
.
The MAGMA research is based on the idea that, to address the complex challenges
of the emerging hybrid environments, optimal software solutions will themselves
have to hybridize, combining the strengths of different algorithms within a
single framework. Building on this idea, we aim to design linear algebra
algorithms and frameworks for hybrid manycore and GPU systems that can enable
applications to fully exploit the power that each of the hybrid components
offers.
.
This package contains the Doxygen HTML documentation.
|
