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numerics 0.1.0
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Dense row-major matrix templated over scalar type T. More...
#include "core/parallel/cuda_ops.hpp"#include "core/policy.hpp"#include "core/vector.hpp"#include <algorithm>#include <concepts>#include <memory>#include <type_traits>Go to the source code of this file.
Classes | |
| class | num::BasicMatrix< T > |
| Dense row-major owning matrix. More... | |
Namespaces | |
| namespace | num |
Typedefs | |
| using | num::Matrix = BasicMatrix< real > |
| Double-precision dense matrix with full backend dispatch (CPU + GPU). | |
Functions | |
| void | num::matvec (const Matrix &A, const Vector &x, Vector &y, Backend b=default_backend) |
| y = A * x | |
| void | num::matmul (const Matrix &A, const Matrix &B, Matrix &C, Backend b=default_backend) |
| C = A * B. | |
| void | num::matadd (real alpha, const Matrix &A, real beta, const Matrix &B, Matrix &C, Backend b=default_backend) |
| C = alpha*A + beta*B. | |
| void | num::matmul_blocked (const Matrix &A, const Matrix &B, Matrix &C, idx block_size=64) |
| C = A * B (cache-blocked) | |
| void | num::matmul_register_blocked (const Matrix &A, const Matrix &B, Matrix &C, idx block_size=64, idx reg_size=4) |
| C = A * B (register-blocked) | |
| void | num::matmul_simd (const Matrix &A, const Matrix &B, Matrix &C, idx block_size=64) |
| C = A * B (SIMD-accelerated) | |
| void | num::matvec_simd (const Matrix &A, const Vector &x, Vector &y) |
| y = A * x (SIMD-accelerated) | |
Dense row-major matrix templated over scalar type T.
Definition in file matrix.hpp.