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OpenBLAS Extensions
Martin Kroeker edited this page Mar 13, 2024
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- BLAS-like extensions
Routine | Data Types | Description |
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?axpby | s,d,c,z | like axpy with a multiplier for y |
?gemm3m | c,z | gemm3m |
?imatcopy | s,d,c,z | in-place transpositon/copying |
?omatcopy | s,d,c,z | out-of-place transpositon/copying |
?geadd | s,d,c,z | ATLAS-like matrix add B = α*A+β*B |
?gemmt | s,d,c,z | gemm but only a triangular part updated |
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BLAS-like and Conversion functions for bfloat16 (available when OpenBLAS was compiled with BUILD_BFLOAT16=1)
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void cblas_sbstobf16
converts a float array to an array of bfloat16 values by rounding -
void cblas_sbdtobf16
converts a double array to an array of bfloat16 values by rounding -
void cblas_sbf16tos
converts a bfloat16 array to an array of floats -
void cblas_dbf16tod
converts a bfloat16 array to an array of doubles -
float cblas_sbdot
computes the dot product of two bfloat16 arrays -
void cblas_sbgemv
performs the matrix-vector operations of GEMV with the input matrix and X vector as bfloat16 -
void cblas_sbgemm
performs the matrix-matrix operations of GEMM with both input arrays containing bfloat16
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Utility functions
- openblas_get_num_threads
- openblas_set_num_threads
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int openblas_get_num_procs(void)
returns the number of processors available on the system (may include "hyperthreading cores") -
int openblas_get_parallel(void)
returns 0 for sequential use, 1 for platform-based threading and 2 for OpenMP-based threading -
char * openblas_get_config()
returns the options OpenBLAS was built with, something likeNO_LAPACKE DYNAMIC_ARCH NO_AFFINITY Haswell
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int openblas_set_affinity(int thread_index, size_t cpusetsize, cpu_set_t *cpuset)
sets the cpu affinity mask of the given thread to the provided cpuset. (Only available under Linux, with semantics identical to pthread_setaffinity_np)