Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that require maximum performance. Intel MKL 11.3 Update 2 packages are now ready for download. Intel MKL is available as part of the Intel® Parallel Studio XE and Intel® System Studio . Please visit the Intel® Math Kernel Library Product Page.
Intel® MKL 11.3 Update 2 Bug fixes
New Features in MKL 11.3 Update 2
- Introduced mkl_finalize function to facilitate usage models when Intel MKL dynamic libraries or third party dynamic libraries are linked with Intel MKL statically are loaded and unloaded explicitly
- Compiler offload mode now allows using Intel MKL dynamic libraries
- Added Intel TBB threading for all BLAS level-1 functions
- Intel MKL PARDISO:
- Added support for block compressed sparse row (BSR) matrix storage format
- Added optimization for matrixes with variable block structure
- Added support for mkl_progress in Parallel Direct Sparse Solver for Clusters
- Added cluster_sparse_solver_64 interface
- Introduced sorting algorithm in Summary Statistics
What's New in Intel MKL 11.3:
- Batch GEMM Functions
- Introduced new 2-stage (inspector-executor) APIs for Level 2 and Level 3 sparse BLAS functions
- Introduced MPI wrappers that allow users to build custom BLACS library for most MPI implementations
- Cluster components (Cluster Sparse Solver, Cluster FFT, ScaLAPACK) are now available for OS X*
- Extended the Intel MKL memory manager to improve scaling on large SMP systems
Check out the latest Release Notes for more updates