29 lines
2.0 KiB
Markdown
29 lines
2.0 KiB
Markdown
* BLAS-like extensions
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| Routine | Data Types | Description |
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| ------------- |:------------- | :---------------|
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| ?axpby | s,d,c,z | like axpy with a multiplier for y |
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| ?gemm3m | c,z | gemm3m |
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| ?imatcopy | s,d,c,z | in-place transpositon/copying |
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| ?omatcopy | s,d,c,z | out-of-place transpositon/copying |
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| ?geadd | s,d,c,z | matrix add |
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| ?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
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* `void cblas_sbdtobf16` converts a double array to an array of bfloat16 values by rounding
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* `void cblas_sbf16tos` converts a bfloat16 array to an array of floats
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* `void cblas_dbf16tod` converts a bfloat16 array to an array of doubles
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* `float cblas_sbdot` computes the dot product of two bfloat16 arrays
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* `void cblas_sbgemv` performs the matrix-vector operations of GEMV with the input matrix and X vector as bfloat16
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* `void cblas_sbgemm` performs the matrix-matrix operations of GEMM with both input arrays containing bfloat16
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* Utility functions
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* openblas_get_num_threads
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* 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")
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* `int openblas_get_parallel(void)` returns 0 for sequential use, 1 for platform-based threading and 2 for OpenMP-based threading
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* `char * openblas_get_config()` returns the options OpenBLAS was built with, something like `NO_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)
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