MAGMA 2.9.0
Matrix Algebra for GPU and Multicore Architectures
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Routines
Here is a list of all topics with brief descriptions:
[detail level 12345]
 Initialize/finalize
 Utilities
 Allocate GPU device memory
 Allocate CPU host memory
 Allocate pinned CPU host memory
 Communication CPU <=> GPU
 Constants and converters
 Device management
 Queue management
 Event management
 Error handling
 Miscellaneous utilities
 Print matrix
 Timer
 Tuning (get_nb, etc.)
 Dense LADesigned to operate on large, dense matrices
 Linear system solversSolves \(Ax = b\)
 Orthogonal/unitary factorizationsFactor \(A\) using \(QR, RQ, QL, LQ\)
 EigenvaluesSolves \(Ax = \lambda x\)
 Singular Value Decomposition (SVD)Factor \(A = U \Sigma V^T\)
 MAGMA BLAS and AuxiliaryBLAS and Auxiliary functions
 Batched LABatched functions operate on a large set of small matrices in parallel, for instance, 10000 matrices of size 100 x 100
 Linear system solversSolves \(Ax = b\)
 Orthogonal/unitary factorizationsFactor \(A\) using \(QR, RQ, QL, LQ\)
 MAGMA BLAS and AuxiliaryBatched BLAS and Auxiliary functions
 Sparse LARoutines for sparse linear algebra
 Sparse linear systemsSolve \(Ax = b\)
 Sparse eigenvaluesSolve \(Ax = \lambda x\)
 Sparse preconditionersPreconditioner for solving \(Ax = \lambda x\)
 Sparse GPU kernels
 Sparse BLAS
 Sparse auxiliary
 Sparse ** unfiled **
 Internal routines
 Error handling
 Testing routines
 Thread management
 Timer utilities
 QR panel to q, q to panel
 GPU Kernels
 DeprecatedDeprecated routines will be removed in the next MAGMA release
 Deprecated MAGMA v1 interface
 Deprecated MAGMA-sparse