Deep Learning Workbench is a web-based graphical environment that enables users to visualize a simulation of performance of deep learning models and datasets on various Intel® architecture configur
The Intel® Deep Learning Deployment Toolkit within the OpenVINO™ toolkit includes the Deep Learning Model Optimizer, which is a cross-platform command-line tool for importing models and preparing t
The Intel® Deep Learning Deployment Toolkit within the OpenVINO™ toolkit includes the Deep Learning Inference Engine, which is a unified API to allow high performance inference on many hardware typ
In recent releases of the Intel® Distribution of OpenVINO™ Toolkit developers can optimize their applications using a suite of Python* calibration tools, namely
Intel® MPI Library Developer Guide for Linux* OS (Beta) from Intel® MPI Library Developer Guide for Linux* OS (Beta)
Note: This document contains content for both oneAPI and Intel® Parallel Studio XE Cluster Edition.
Handling Floating-point Array Operations in a Loop Body from Intel® C++ Compiler for oneAPI Developer Guide and Reference
Following the guidelines below will help auto-vectorization of the loop.
Determines the maximum value between two vectors with packed signed byte/word/doubleword integers. The corresponding Intel® AVX2 instruction is VPMAXSB, VPMAXSW, or VPMAXSD.