Article

Installation of Intel® System Studio on Windows* Host

How to get Intel System Studio 2014 - Windows* Host package?

作者: 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15523: Loop was not vectorized: cannot compute loop iteration count before executing the loop.

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15522: Loop was not vectorized: loop control flow is too complex.

Product Version: Intel® Fortran Compiler 15.0 and above

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15524: Loop was not vectorized: search loop cannot be vectorized unless all memory references can be aligned vector load.

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15532: Loop was not vectorized: compile time constraints prevent loop optimization

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2019/07/05 - 14:23
Article

Diagnostic 15537: Loop was not vectorized: implied FP exception model prevents usage of SVML library.

Product Version: Intel® Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Diagnostic 15541: Loop was not vectorized: outer loop was not auto-vectorized: consider using SIMD directive.

Product Version: Intel® Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
作者: 最后更新时间: 2018/12/12 - 18:00
Article

Fast Computation of Huffman Codes

The generation of Huffman codes is used in many applications, among them the DEFLATE compression algorithm. The classical way to compute these codes uses a heap data structure. This approach is fairly efficient, but traditional software implementations contain lots of branches that are data-dependent and thus hard for general-purpose CPU hardware to predict. On modern processors with deep...
作者: James Guilford (Intel) 最后更新时间: 2019/07/09 - 16:09