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Deep Learning Workbench Developer Guide

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

Authored by admin Last updated on 10/29/2019 - 15:47
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Deep Learning Model Optimizer Developer Guide

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

Authored by admin Last updated on 10/30/2019 - 12:42
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Deep Learning Inference Engine Developer Guide

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

Authored by admin Last updated on 10/30/2019 - 12:43
Blog post

New Deep Learning Workbench Profiler Provides Performance Insights

In recent releases of the Intel® Distribution of OpenVINO™ Toolkit developers can optimize their applications using a suite of Python* calibration tools, namely 

Authored by Shubha R. (Intel) Last updated on 11/06/2019 - 10:36
Documentation

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.

Last updated on 11/17/2019 - 05:34
Documentation

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.

Last updated on 11/17/2019 - 11:20
Documentation

_mm256_max_epi8/16/32 from Intel® C++ Compiler for oneAPI Developer Guide and Reference

Determines the maximum value between two vectors with packed signed byte/word/doubleword integers. The corresponding Intel® AVX2 instruction is VPMAXSB, VPMAXSW, or VPMAXSD.

Last updated on 11/17/2019 - 11:20