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
This page provides the current Release Notes for the Debug Solutions from Intel® Parallel Studio XE 2018 Composer Edition for Fortran Linux*, Windows* and OS X*/mac
Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)
The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.
We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.