Intel® Math Kernel Library 11.3 Update 4 Developer Guide

Functions Threaded with Intel® Threading Building Blocks

In this section, ? stands for a precision prefix or suffix of the routine name and may have the value of s, d, c, or z.

The following Intel MKL function domains are threaded with Intel® Threading Building Blocks (Intel® TBB):

Optimization Notice

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804

LAPACK Routines

The following LAPACK routines are threaded with Intel TBB:
?geqrf, ?gelqf, ?getrf, ?potrf, ?unmqr*, ?ormqr*, ?unmrq*, ?ormrq*, ?unmlq*, ?ormlq*, ?unmql*, ?ormql*, ?sytrd, ?hetrd, ?syev, ?heev, and ?latrd.

A number of other LAPACK routines, which are based on threaded LAPACK or BLAS routines, make effective use of Intel TBB threading:
?getrs, ?gesv, ?potrs, ?bdsqr, and ?gels.

Intel MKL PARDISO Steps

Reordering and factorization steps of the solver are threaded with Intel TBB. In the solving step, call the routines sequentially.

Sparse BLAS Routines

The Sparse BLAS inspector-executor application programming interface routines mkl_sparse_?_mv are threaded with Intel TBB for the general compressed sparse row (CSR) and block sparse row (BSR) formats.