Developer Guide for Intel® Data Analytics Acceleration Library 2016 Update 4
For the best performance of the SVM classifier, use homogeneous numeric tables if your input data set is homogeneous or SOA numeric tables otherwise.
Performance of the SVM algorithm greatly depends on the cache size cacheSize. Larger cache size typically results in greater performance. However, avoid setting the cache size to a larger value than the number of bytes required to store n2 data elements because the algorithm does not fully utilize the cache in this case.
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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 |