What's new in Intel® MKL?

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October 25, 2010 11:30 AM PDT


New Key features in Intel®MKL 10.3

    Intel AVX is the next step in the evolution of Intel processors. Intel AVX optimization has been extended to more MKL functions to get better performance on future Intel architecture.

  • Summary Statistics library: An optimized parallel library that uses recent advances of statistics by providing modern algorithms that enhance accuracy and performance of statistical computations.

Extended MKL C language support: C interface to LAPACK and C style 0-based index arrays in PARDISO

Dynamic interface libraries for Windows: New dynamic interface libraries have been added for improved linkage from C# or Java on Windows.

Routine Level mode controls in VML: Users can now control or set the accuracy for each function separately in VML with a new argument in each function

          Directory Changes in the Intel® MKL 10.3


New features in Intel® MKL 10.2








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



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This article applies to: Intel® C++ Compiler for Linux* Knowledge Base,   Intel® C++ Compiler for Mac OS X* Knowledge Base,   Intel® C++ Compiler for Windows* Knowledge Base,   Intel® Cluster Toolkit for Linux* Knowledge Base,   Intel® Cluster Toolkit for Windows* Knowledge Base,   Intel® Math Kernel Library Knowledge Base