| Description: | Matrix Algebra on GPU and Multi-core Architectures (MAGMA) is a collection
of next-generation linear algebra libraries for heterogeneous computing.
The MAGMA package supports interfaces for current linear algebra packages
and standards (e.g., LAPACK and BLAS) to enable computational scientists
to easily port any linear algebra–reliant software component to
heterogeneous computing systems. MAGMA enables applications to fully
exploit the power of current hybrid systems of many-core CPUs and
multi-GPUs/coprocessors to deliver the fastest possible time to accurate
solutions within given energy constraints.
MAGMA features LAPACK-compliant routines for multi-core CPUs enhanced with
NVIDIA or AMD GPUs. MAGMA 2.7.2 now includes more than 400 routines that
cover one-sided dense matrix factorizations and solvers, two-sided
factorizations, and eigen/singular-value problem solvers, as well as a
subset of highly optimized BLAS for GPUs. A MagmaDNN package has been
added and further enhanced to provide high-performance data analytics,
including functionalities for machine learning applications that use MAGMA
as their computational back end. The MAGMA Sparse and MAGMA Batched
packages have been included since MAGMA 1.6. |
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