Click here to Skip to main content

Submit your article

Intel

Intel

Great Reads

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.

Getting To Know LLVM

by Bridget Mwikali

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

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

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.

Latest Articles

Zero in on Level Zero

by Robert Mueller-Albrecht

An Open, Backend Approach to Compute Anywhere

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.

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

by Jian_Zhang

Democratizing AI with Intel-Optimized Software

Device Discovery with SYCL

by Henry A Gabb, John Pennycook

Learn about the Accelerators in Your System

All Articles

Intel

An interview with Henry Gabb at Intel.

5 Nov 2017 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.

parallel-processing

Getting To Know LLVM

1 Aug 2022 by Bridget Mwikali

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

product-showcase

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

13 Oct 2022 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

Discussing MasterCard’s OpenAPI platform with business leader Dave Butler

4 Nov 2013 by CodeProject

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

artificial-intelligence

An Introduction to Accelerator and Parallel Programming

12 Dec 2022 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.

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

15 Mar 2021 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

Optimize Distributed AI Training Using Intel® oneAPI Toolkits

26 Jul 2022 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.

product-showcase

Migrating the Jacobi Iterative Method from CUDA to SYCL

27 Jul 2022 by Intel

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

product-showcase

Portable, Accelerated Image Processing with the oneAPI Image Processing Library

28 Jul 2022 by Valentin Kubarev

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

product-showcase

Speeding Up the Databricks Runtime for Machine Learning

29 Jul 2022 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.

machine-learning

product-showcase

Streamline PyTorch with Intel OpenVINO™ integration with Torch-ORT

12 Sep 2022 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.

artificial-intelligence

Gradient Boosting with Intel’s Optimized XGBoost

28 Feb 2023 by Intel

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

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

29 Oct 2013 by CodeProject

Richard Tate of HopeLab on developing successful healthcare apps.

Easy SIMD through Wrappers

13 May 2015 by Android on Intel

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

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

23 Jun 2022 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.

machine-learning

product-showcase

What Cross-Architecture Programming Means for IoT

18 Jul 2022 by Ahmed Hashesh

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

product-showcase

Intel® Distribution of Modin Usage and Performance Tuning Guide

25 Jul 2022 by Intel

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

product-showcase

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

1 Nov 2022 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.

machine-learning

Maintaining Performant AI in Production

13 Dec 2022 by Intel

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

artificial-intelligence

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

10 May 2023 by Jian_Zhang

Democratizing AI with Intel-Optimized Software

artificial-intelligence

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

17 Jan 2014 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.

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

17 Apr 2014 by Christopher Coey

An educator's look into Beacon Mountain.

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

16 Oct 2014 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.

Optimizing Cyberlink PowerDVD 10* Improves Battery Life

2 Sep 2014 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.

product-showcase

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

10 Jun 2015 by Intel

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

product-showcase

Spotlight on Intel® Galileo and Intel® Edison Development Boards

20 Jan 2016 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.

Human Action Recognition with OpenVINO™ Toolkit

19 Sep 2022 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.

artificial-intelligence

Building a Deep Learning Environment in Python with Intel and Anaconda

19 Oct 2022 by Intel

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

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

20 Oct 2022 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.

machine-learning

OpenVINO™ Integration With TensorFlow Now Comes With Docker Support

1 Nov 2022 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.

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

28 Oct 2022 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.

Accelerating PyTorch with Intel® Extension for PyTorch

12 Dec 2022 by Intel

An Open-Source Extension to Boost PyTorch Performance

Device Discovery with SYCL

9 May 2023 by Henry A Gabb, John Pennycook

Learn about the Accelerators in Your System

Essential Tools for Jumpstarting AI Development Projects

10 May 2023 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.

artificial-intelligence

Let’s make a SmartWatch

17 Oct 2015 by Pooja Baraskar

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

Ultrabook Sensors on Desktop App

5 Jan 2013 by Anup Kumar Verma

Using all Ultrabook sensors on Desktop Application

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

1 Jul 2022 by Michael Chourdakis

Try deep CPU features

Intel Multi-OS Engine

2 Nov 2015 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.

Integer math: beyond the limits

6 Jul 2016 by Victor Soldatov

A coarse approach to operate huge integers.

What is Intel® Processor Graphics?

4 Sep 2014 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.

Deploy AI Inference with OpenVINO™ and Kubernetes

19 Jul 2022 by Dariusz Trawinski

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

product-showcase

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

28 Oct 2013 by CodeProject

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

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

21 Jul 2022 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.

product-showcase

Improve AI Application Performance and Portability with Automatic Device Plugin

23 Jun 2022 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.”

product-showcase

Enhance Data Analytics with oneDAL

21 Oct 2022 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.

machine-learning

Solving Heterogeneous Programming Challenges with Fortran and OpenMP

8 May 2023 by Shiquan Su PhD, Ron_Green, Barbara Perz, Pamela Harrison

Expressing Heterogeneous Parallelism Using Open, Standard Programming Languages

Zero in on Level Zero

12 May 2023 by Robert Mueller-Albrecht

An Open, Backend Approach to Compute Anywhere

Named Entity Recognition Using OpenVINO™ Toolkit

18 Jul 2022 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.

product-showcase

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

23 Jun 2022 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.

product-showcase

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

23 Jun 2022 by Adrian Boguszewski

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

product-showcase