| November 7, 2010 6:30 AM PST | |
An optimized parallel library that uses recent advances of statistics by providing modern algorithms that enhance accuracy and performance of statistical computations has been implemented in Intel MKL 10.3. Please find more details about Intel MKL SSL in the Intel MKL SSL overview document.
Intel® Summary Statistics Library Blogs
- Intel® Summary Statistics Library: how to manage with oceans of information?
- Intel® Summary Statistics Library: several estimates at one stroke.
- Intel® Summary Statistics Library: how to process data in chunks?
- Intel® Summary Statistics Library: how to detect outliers in datastes?
- Intel® Summary Statistics Library: why not to use multi-core advantages?
- Intel® Summary Statistics Library: what is new in the Update?
- Intel® Summary Statistics Library: how fast is the algorithm for detection of outliers?
- Intel® Summary Statistics Library: how to use the robust methods?
- Intel® Summary Statistics Library: how to deal with missing observations?
- Intel® Summary Statistics Library: hot to compute quantiles for streaming data?
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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® Fortran Compiler for Linux* Knowledge Base, Intel® Fortran Compiler for Mac OS X* Knowledge Base, Intel® Math Kernel Library Knowledge Base
For more complete information about compiler optimizations, see our Optimization Notice.
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