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Intel® MKL and Intel® IPP: Choosing a High Performance FFT
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.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® Parallel Studio XE 2017 Composer Edition Fortran - Debug Solutions Release Notes
This page provides the current Release Notes for the Debug Solutions from Intel® Parallel Studio XE 2017 Composer Edition for Fortran Linux*, Windows* and OS X*/macOS* products.Peel the Onion (Optimization Techniques)
This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).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.
Parallel Direct Sparse Solver for Clusters
Product Overview
Intel® AVX-512 Instructions
The latest Intel® Architecture Instruction Set Extensions Programming Reference includes the definition of Intel® Advanced Vector Extensions 512 (Intel® AV
Intel® System Studio Release Notes, System Requirements, and What's New
This page provides system requirements and release notes for Intel® System Studio.
