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

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

作者: 最后更新时间: 2019/07/16 - 08:37
Article

The Inside Scoop on How We Accelerated NumPy Umath Functions

NumPy UMath Optimizations

作者: Andres G. (Intel) 最后更新时间: 2018/05/30 - 07:08