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Intel

Great Reads

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

Latest Articles

by Bridget Mwikali
This article provides an overview of LLVM and how it applies to oneAPI and its compiler.
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.
by Valentin Kubarev
In this article we discuss how to use SYCL and oneIPL to offload Gaussian image filtering to an accelerator.
by Intel
This document demonstrates how a linear algebra Jacobi iterative method written in CUDA* can be migrated to the SYCL* heterogenous programing language.

All Articles

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Intel 

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5 Nov 2017
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.
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1 Aug 2022N
Bridget Mwikali
This article provides an overview of LLVM and how it applies to oneAPI and its compiler.
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28 Apr 2022
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.
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11 May 2022
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.
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4 Nov 2013
CodeProject
Dave Butler, VP and Senior Business Leader at MasterCard, offers developers insight into the company’s worldwide OpenAPI platform.
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15 Mar 2021
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
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15 Mar 2022
MaryT_Intel
In this article we show you the Intel® deep learning inference tools and the basics of how they work.
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18 May 2022
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
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27 Jul 2022
Intel
This document demonstrates how a linear algebra Jacobi iterative method written in CUDA* can be migrated to the SYCL* heterogenous programing language.
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28 Jul 2022
Valentin Kubarev
In this article we discuss how to use SYCL and oneIPL to offload Gaussian image filtering to an accelerator.
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29 Oct 2013
CodeProject
Richard Tate of HopeLab on developing successful healthcare apps.
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16 Nov 2021
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.
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13 May 2015
Android on Intel
This article aims to change your thinking on how SIMD programming can be applied in your code.
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17 May 2022
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
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23 Jun 2022
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.
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18 Jul 2022
Ahmed Hashesh
This article examines how Intel provides standardized specifications that streamline this environment.
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25 Jul 2022
Intel
This article serves to provide users a guide for best practices and advice when using Intel® Distribution of Modin.
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26 Jul 2022
Abhay_Rawat, Dr. Amarpal S Kapoor
This article focuses on tuning and scaling a deep-learning-based algorithm on a cluster of compute nodes.
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29 Jul 2022
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.
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16 Oct 2014
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.
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20 Jan 2016
Intel Corporation
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.
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17 Jan 2014
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.
10 Jun 2015
Intel Corporation
This guide will teach you how to use GATT profile, by interfacing with the Texas Instruments SensorTag over Bluetooth* Low Energy.
2 Sep 2014
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.
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21 Mar 2022
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.
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19 Apr 2022
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.
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27 Apr 2022
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).
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29 Apr 2022
Wei_Li
This article lays out the performance data of software AI accelerators on Intel Xeon.
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17 Oct 2015
Pooja Baraskar
Intel Edison is small enough to use as a wearable, so why not we make a smart watch with Edison.
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5 Jan 2013
Anup Kumar Verma
Using all Ultrabook sensors on Desktop Application
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1 Jul 2022
Michael Chourdakis
Try deep CPU features
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2 Nov 2015
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.
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6 Jul 2016
Victor Soldatov
A coarse approach to operate huge integers.
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4 Sep 2014
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.
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19 Jul 2022
Dariusz Trawinski
In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.
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28 Oct 2013
CodeProject
Pierre Le Lann of Tribal Nova talks about "what makes a successful educational app"
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21 Jul 2022
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.
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23 Jun 2022
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.”
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18 Jul 2022
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.
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23 Jun 2022
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.
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23 Jun 2022
Adrian Boguszewski
A very simple guide for every PyTorch Developer wanting to improve the inference performance