Intel

Great Reads

Accelerating Artificial Intelligence with Intel® End-to-End AI Optimization Kit

by Jian_Zhang

Democratizing AI with Intel-Optimized Software

Accelerating PyTorch with Intel® Extension for PyTorch

by Intel

An Open-Source Extension to Boost PyTorch Performance

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

All-in-One PC: What are the developer possibilities?

by Wendy Boswell

The All-in-One PC provides great benefits for consumers, since they are streamlined systems with high performance inside that provide instant readiness.

Latest Articles

Accelerating Artificial Intelligence with Intel® End-to-End AI Optimization Kit

by Jian_Zhang

Democratizing AI with Intel-Optimized Software

Accelerating PyTorch with Intel® Extension for PyTorch

by Intel

An Open-Source Extension to Boost PyTorch Performance

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

All-in-One PC: What are the developer possibilities?

by Wendy Boswell

The All-in-One PC provides great benefits for consumers, since they are streamlined systems with high performance inside that provide instant readiness.

All Articles

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Intel

Accelerating Artificial Intelligence with Intel® End-to-End AI Optimization Kit

by Jian_Zhang

Democratizing AI with Intel-Optimized Software

Accelerating PyTorch with Intel® Extension for PyTorch

by Intel

An Open-Source Extension to Boost PyTorch Performance

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

All-in-One PC: What are the developer possibilities?

by Wendy Boswell

The All-in-One PC provides great benefits for consumers, since they are streamlined systems with high performance inside that provide instant readiness.

An interview with Henry Gabb at Intel.

by Chris Maunder, Henry Gabb

A rambling chat about parallelization, vectorization, Intel® Parallel Studio XE and how sometimes you really need to trust the tools you use.

An Introduction to Accelerator and Parallel Programming

by Intel

This is the first in a series of articles where I will talk about parallel programming and various ways to enable it on modern accelerators.

Benchmarking Intel® Extension for Scikit-learn: How Much Faster Is It?

by Intel

This article will explore and compare the performance of the Intel Extension for Scikit-learn and benchmark it against the stock Scikit-learn library.

Beyond Direct Memory Access: Reducing the Data Center Tax with Intel Data Streaming Accelerator

by Intel

Take Advantage of On-Chip Acceleration of Data Transformation in 4th Gen Intel® Xeon® Scalable Processors

Breaking Cross-Architecture Barriers with oneAPI: Libraries for Easy Heterogeneous Compute

by Robert Mueller-Albrecht

In this article we explore how using oneAPI the software-development paradigm changes and targeting and maintaining multiple execution environments for a given workload becomes more easily achievable

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

Building a Deep Learning Environment in Python with Intel and Anaconda

by Intel

In this article, we’ll explore how to create a DL environment with optimized Intel packages.

Create Your Own Custom Chatbot

by Intel

Train Large Language Models Quickly and Easily on Intel® Processors

Cross-Architecture Compiling: Using SYCL Code with the Intel oneAPI Compiler

by Sergiu Oprea

This article is a hands-on look at using the Intel oneAPI DPC++/C++ Compiler for compiling SYCL code built for cross-architecture deployment.

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

by Ragesh_Hajela

OpenVINO offers several tools for making a model run faster and use less memory. In this article we look at: what each tools does, when you should use model optimizer, POT, and NNCF, and frequently asked questions.

Device Discovery with SYCL

by Henry A Gabb, John Pennycook

Learn about the Accelerators in Your System

Discussing MasterCard’s OpenAPI platform with business leader Dave Butler

by CodeProject

Dave Butler, VP and Senior Business Leader at MasterCard, offers developers insight into the company’s worldwide OpenAPI platform.

Easily Optimize Deep Learning with 8-Bit Quantization

by Stephanie_Maluso

In this article we look at how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit quantization in PyTorch

Easy SIMD through Wrappers

by Android on Intel

This article aims to change your thinking on how SIMD programming can be applied in your code.

Efficient Heterogeneous Parallel Programming Using OpenMP

by Elmira Volkova, Alexander Bobyr, Igor Ermolaev

In this article, we divide the computation between the host CPU and a discrete Intel® GPU such that both processors are kept busy.

Enhance Data Analytics with oneDAL

by Intel

In this article we explore oneDAL. oneDAL includes machine learning algorithms optimized for a variety of architectures, but with the same API, meaning you can use the same application code for whatever type of system your project requires.

Essential Tools for Jumpstarting AI Development Projects

by Intel

This article examines oneAPI and explores some of Intel's many tools built on it to see how oneAPI makes AI development more straightforward and manageable.

Generative AI Playground: Image-To-Image Stable Diffusion with RunwayML and Stability AI on the Latest Intel® GPU

by Benjamin Consolvo

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.

Generative AI Playground: LLMs with Camel-5b and Open LLaMA 3B on the Latest Intel® GPU

by Benjamin Consolvo

This article explores the use of Large Language Models (LLMs) in various applications, such as chatbots, code generation, and debugging.

Generative AI Playground: Text-to-Image Stable Diffusion with Stability AI, Stable Diffusion XL, and CompVis on the Latest Intel® GPU

by Benjamin Consolvo

This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.

Get faster performance for Deep Learning Models with the help of Intel® Distribution of OpenVINO™ toolkit Execution Provider and Intel® DevCloud

by Devang Aggarwal, Maajid Khan

The Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others.

Getting To Know LLVM

by Bridget Mwikali

This article provides an overview of LLVM and how it applies to oneAPI and its compiler.

Gradient Boosting with Intel’s Optimized XGBoost

by Intel

XGBoost algorithm and its comparison to Intel’s xgboost wrapper in Python

How Intel is working to get new, young programmers into Android Development

by Christopher Coey

An educator's look into Beacon Mountain.

How to convert PyTorch model and run it with OpenVINO™ Toolkit

by Adrian Boguszewski

A very simple guide for every PyTorch Developer wanting to improve the inference performance

How to Determine if You’re Getting the Most from Your Cross-Architecture Implementation

by Dhruv__Patel

In this article we look at how developers can use Intel® Advisor and Intel® VTune™ Profiler to efficiently offload to GPU and optimize their cross-architecture applications.

How to Implement A Parallel "Stable" Three-Way Quicksort Using Intel C++ Compiler And OpenMP 4.5 Library

by Arthur V. Ratz

How to deliver the modern code, using Intel C++ Compiler and OpenMP 4.5 library, that implements the parallel "stable" three-way quicksort, based on the parallel code that has already been discussed in the previous article.

How to Move from CUDA Math Library Calls to oneMKL

by Robert Mueller-Albrecht

Using the Intel® oneAPI Math Kernel Library SYCL API

Human Action Recognition with OpenVINO™ Toolkit

by Paula_Ramos

In this article, you will learn how to work with live human action recognition using the OpenVINO™ AI toolkit in a synchronized schedule.

Improve AI Application Performance and Portability with Automatic Device Plugin

by Ragesh_Hajela

New features in the Intel® OpenVINO™ toolkit enable you to easily optimize for throughput or latency, and help you to “write once, deploy anywhere.”

Integer math: beyond the limits

by Victor Soldatov

A coarse approach to operate huge integers.

Intel Multi-OS Engine

by Ilya Aleshkov

This article clearly expresses how your Java skills and Java skills only will enable you to develop cross-platform native apps for iOS and Android.

Intel Performance Primitives in 2019

by Jeffrey T. Fritz

In this video, Jeff shows you two samples that demonstrate how you can work with images using these libraries.

Intel® Distribution of Modin Usage and Performance Tuning Guide

by Intel

This article serves to provide users a guide for best practices and advice when using Intel® Distribution of Modin.

Interview with HopeLab's Richard Tate: Developing Game-Based Healthcare Apps

by CodeProject

Richard Tate of HopeLab on developing successful healthcare apps.

Introducing OpenVINO™ integration with TensorFlow

by Stephanie_Maluso

This article provides a better understanding of the benefits of OpenVINO integration with Tensorflow: how it works, deployments environments, and how OpenVINO integration with TensorFlow differs from using native OpenVINO API

Katana’s High-Performance Graph Analytics Library

by Gurbinder Gill

This article will cover what's in the library, how to get access to the library, usage examples, and benchmark data to highlight performance.

Let’s make a SmartWatch

by Pooja Baraskar

Intel Edison is small enough to use as a wearable, so why not we make a smart watch with Edison.

Load a x86 DLL into a x64 Executable... Mission Possible?

by Michael Chourdakis

Try deep CPU features

Maintaining Performant AI in Production

by Intel

Building an MLOps Environment with the Intel® AI Analytics Toolkit, MLflow, and AWS

Migrating the Jacobi Iterative Method from CUDA to SYCL

by Intel

This document demonstrates how a linear algebra Jacobi iterative method written in CUDA* can be migrated to the SYCL* heterogenous programing language.

Named Entity Recognition Using OpenVINO™ Toolkit

by Ragesh_Hajela

NER systems can pull entities from an unstructured collection of natural language documents called as knowledge base. In this article we will show entity recognition from simple text using OpenVINO™ toolkit and you will see how to create the following pipeline to perform entity extraction.

Not built in a day - lessons learned on Total War: ROME II

by Paul Lindberg

This case study details how the game takes best advantage of low-power systems, while still scaling up to look and run fantastic on more robust systems.

oneMD: A Molecular Dynamics Simulator in Modern C++ and SYCL

by Allister Beharry

oneMD is a molecular dynamics simulator coded in C++ 17 designed to take advantage of hardware data parallelism across a diverse set of devices and architectures using Intel's oneAPI framework and SYCL -- the successor to the OpenCL standard for parallel processing

oneMKL: C++ API with SYCL Support for Data Fitting

by Intel

Intel® oneAPI Math Kernel Library (oneMKL) now includes adding support for C++ and GPUs, taking full advantage of the SYCL cross-platform abstraction layer.

OpenVINO™ Integration With TensorFlow Now Comes With Docker Support

by Intel

In this post, we will start by using Prebuilt Images available on DockerHub. Then we will go through the exact commands you’ll need to access an Object Detection notebook via Docker.

OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier

by Devang Aggarwal

In this article we explain easy it is to install the OpenVINO Execution Provider for ONNX Runtime on your Linux or Windows machines and get that faster inference for your ONNX deep learning models.

Optimize Distributed AI Training Using Intel® oneAPI Toolkits

by Abhay_Rawat, Dr. Amarpal S Kapoor

This article focuses on tuning and scaling a deep-learning-based algorithm on a cluster of compute nodes.

Optimizing Cyberlink PowerDVD 10* Improves Battery Life

by Gael Holmes Hofemeier

Cyberlink and Intel utilized several tools to analyze and optimize the power consumption PowerDVD*. What follows is a description the technical challenges encountered when adding content streaming features to PowerDVD and the techniques used to improve the application power consumption profile.

Performance Optimization on Intel® Processors with High Bandwidth Memory

by Intel

A Deep Dive into Performance Tuning for the Intel® Xeon® CPU Max Series

Portable, Accelerated Image Processing with the oneAPI Image Processing Library

by Valentin Kubarev

In this article we discuss how to use SYCL and oneIPL to offload Gaussian image filtering to an accelerator.

Running an Object Detection Model Using Intel® DevCloud for the Edge

by Monique Jones

How to run an Object Detection Model Using Intel® DevCloud for the Edge

Scale Your Pandas Workflow with Modin

by Vasilij Litvinov

This article introduces Intel Distribution of Modin, part of the Intel oneAPI AI Analytics Toolkit (AI Kit), which is now available from Anaconda’s “defaults” channel (and from conda-forge, too).

Software AI Accelerators: AI Performance Boost for Free

by Wei_Li

This article lays out the performance data of software AI accelerators on Intel Xeon.

Solving Heterogeneous Programming Challenges with Fortran and OpenMP

by Shiquan Su PhD, Ron_Green, Barbara Perz, Pamela Harrison

Expressing Heterogeneous Parallelism Using Open, Standard Programming Languages

Speeding Up the Databricks Runtime for Machine Learning

by Intel

Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.

Spotlight on Intel® Galileo and Intel® Edison Development Boards

by Intel

There are a lot of boards out there for your Internet of Things (IoT) project. Choosing the right one is a matter of what you want to accomplish. You need to consider cost, power consumption, time to market, how long will your device be in the market, and the software tools you want to use.

Streamline PyTorch with Intel OpenVINO™ integration with Torch-ORT

by Intel

OpenVINO integration with Torch-ORT gives PyTorch developers the ability to stay within their chosen framework all the while still getting the speed and inferencing power of OpenVINO™ toolkit through inline optimizations used to accelerate your PyTorch applications.

The No-Code Approach to Deploying Deep Learning Models on Intel® Hardware

by MaryT_Intel

In this article we show you the Intel® deep learning inference tools and the basics of how they work.

Ultrabook Sensors on Desktop App

by Anup Kumar Verma

Using all Ultrabook sensors on Desktop Application

Using the Generic Attribute Profile (GATT) in Bluetooth* Low Energy with your Intel® Edison Board

by Intel

This guide will teach you how to use GATT profile, by interfacing with the Texas Instruments SensorTag over Bluetooth* Low Energy.

What Cross-Architecture Programming Means for IoT

by Ahmed Hashesh

This article examines how Intel provides standardized specifications that streamline this environment.

What is Intel® Processor Graphics?

by Stephen Junkins

Newly published – the detailed Compute Architecture of Intel® Processor Graphics Gen8, with information on the Intel® HD Graphics 5300. Available as well is the Intel® Processor Graphics Developer’s Guide for 4th Generation Intel® Core™ Processor Graphics.

What makes a successful educational app? A chat with Pierre Le Lann of Tribal Nova

by CodeProject

Pierre Le Lann of Tribal Nova talks about "what makes a successful educational app"

Zero in on Level Zero

by Robert Mueller-Albrecht

An Open, Backend Approach to Compute Anywhere