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
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.
The latest Intel® Architecture Instruction Set Extensions Programming Reference includes the definition of Intel® Advanced Vector Extensions 512 (Intel® AV
This page provides system requirements and release notes for Intel® System Studio.