Contents

# BLAS Level 3 Routines

BLAS Level 3 routines perform matrix-matrix operations. The following table lists the BLAS Level 3 routine groups and the data types associated with them.
Routine Group
Data Types
Description
std::int8_t
,
oneapi::mkl::bfloat16
,
sycl::half
,
float
,
double
,
std::complex<float>
,
std::complex<double>
, mixed
Computes a matrix-matrix product with general matrices.
std::complex<float>
,
std::complex<double>
Computes a matrix-matrix product where one input matrix is Hermitian and one is general.
std::complex<float>
,
std::complex<double>
Performs a Hermitian rank-k update.
std::complex<float>
,
std::complex<double>
Performs a Hermitian rank-2k update.
float
,
double
,
std::complex<float>
,
std::complex<double>
Computes a matrix-matrix product where one input matrix is symmetric and one matrix is general.
float
,
double
,
std::complex<float>
,
std::complex<double>
Performs a symmetric rank-k update.
float
,
double
,
std::complex<float>
,
std::complex<double>
Performs a symmetric rank-2k update.
float
,
double
,
std::complex<float>
,
std::complex<double>
Computes a matrix-matrix product where one input matrix is triangular and one input matrix is general.
float
,
double
,
std::complex<float>
,
std::complex<double>
Solves a triangular matrix equation (forward or backward solve).
The BLAS functions are blocked where possible to restructure the code in a way that increases the localization of data reference, enhances cache memory use, and reduces the dependency on the memory bus.
The code is distributed across the processors to maximize parallelism.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at https://www.intel.com/PerformanceIndex. Notice revision #20201201

#### Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.