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CUDA Programming Model on AMD GPUs and Intel CPUs

by Nick Kopp

This article builds upon the earlier High Performance Queries: GPU vs. PLINQ vs. LINQ and ports this to also support OpenCL devices and adds benchmarking so you can easily compare performance.

Easy OpenCL Multiple Device Load Balancing and Pipelining For C#: Cekirdekler API

by tugrulGtx

Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.

GPGPU Papyrus Demo

by John Michael Hauck

It has never been easier for C# desktop developers to write code that takes advantage of the amazing computing performance of modern graphics cards. In this post I will share some techniques for solving a simple (but still interesting) image analysis problem. Source Code https://www.assembla.com/co

Pick Selection with OpenGL and OpenCL

by Matt Scarpino

Using GPU Acceleration to Compute Ray-Triangle Intersection

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Lattice Boltzmann

by aroman

In this post I explore Lattice Boltzmann methods and build a related project

C++ Virtual-Array Implementation that is Backed by the Combined Video Memory of User-System

by tugrulGtx

Header-only C++ tool that supports basic array-like usage pattern and uses multiple graphics cards in system as storage with LRU caching

FASTA Nucleotide Sequence Caching in Video Memory in C++

by tugrulGtx

Accessing VRAM-cached nucleotide sequences in FASTA formatted files (*.fna, *.faa) by index

How To Optimize A Parallel Stable Sort Performance Using The Revolutionary Intel® oneAPI HPC Toolkit

by Arthur V. Ratz

In this article I will thoroughly discuss about the several aspects of using the revolutionary new Intel® oneAPI HPC Toolkit to deliver a modern code that implements a parallel “stable” sort

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OpenCL

Accelerate Deep Learning Inference with Intel® Processor Graphics

1 Jun 2017 by Intel

This paper introduces Intel software tools recently made available to accelerate deep learning inference in edge devices (such as smart cameras, robotics, autonomous vehicles, etc.) incorporating Intel® Processor Graphics solutions across the spectrum of Intel SOCs.

machine-learning

Adobe Photoshop with Open Standards Enhanced by Intel® HD and Iris™ Graphics

16 Oct 2014 by Tim_Duncan

In this article, we’ll explore the strides Adobe engineers have made over the last few years to enhance Photoshop using OpenGL* and OpenCL™ to increase hardware utilization.

An Analog Clock Design Using OpenTK in C#

17 Dec 2013 by kdgupta87

A 2D analog clock designed using OpenTK in C# and WinForms.

Benchmarking and Comparing Encog, Neuroph and JOONE Neural Networks

3 Jun 2010 by taheretaheri

I compare the performance of Encog, Neuroph and JOONE

C++ Virtual-Array Implementation that is Backed by the Combined Video Memory of User-System

15 Mar 2021 by tugrulGtx

Header-only C++ tool that supports basic array-like usage pattern and uses multiple graphics cards in system as storage with LRU caching

Code optimization tutorial - Part 2

22 Jun 2012 by Razvan Aguridan

Beginner optimization tutorial.

Code optimization tutorial - Part 3

30 Jul 2012 by Razvan Aguridan

Beginner optimization tutorial

CPU-Bound Offline Analysis with Intel® Graphics Performance Analyzers (GPA) - Platform Analyzer

1 Mar 2016 by Android on Intel

In this article we are going to do a walkthrough of how to do CPU-bound offline analysis of the workflow.

CUDA Programming Model on AMD GPUs and Intel CPUs

16 Sep 2013 by Nick Kopp

This article builds upon the earlier High Performance Queries: GPU vs. PLINQ vs. LINQ and ports this to also support OpenCL devices and adds benchmarking so you can easily compare performance.

Dense Optical Flow Expansion Based On Polynomial Basis Approximation

23 Oct 2014 by pi19404

Dense Motion Estimation based on Polynomial expansion IntroductionIn this article we will look at dense motion estimation based on polymonial repsentation of image.The polynomial basis representation of the image is obtained by approximating the local neighborhood of image us

Developing Immersive Apps For A New Breed Of All-In-One Computer

6 Nov 2014 by praveen_kundurthy

This paper presents four guidelines that can help guide software developers as they design applications that encourage touch interaction and deliver a memorable user experience on Intel® processor-based pAIOs.

Developing Mobile Game Graphics for Intel® Architecture-Based Android* Tablets, Part 2

17 Nov 2014 by Android on Intel

In the conclusion of this two-part series, I detail the best 3D game engine and middleware solutions for Android* tablets, including free, open source, and proprietary options. I also note which have native support for x86 Intel® processors.

artificial-intelligence

Developing Visual Retail Solutions Using Intel® Hardware and Software

3 Apr 2018 by Intel

The Retail Workshop: Hands on Learning with Intel®-based Retail Solutions

Easy OpenCL Multiple Device Load Balancing and Pipelining For C#: Cekirdekler API

5 Oct 2017 by tugrulGtx

Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.

Enabling FPGAs for Software Developers

23 Feb 2018 by Member 13680125

Boosting Efficiency and Performance for Automotive, Networking, and Cloud Computing

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FASTA Nucleotide Sequence Caching in Video Memory in C++

2 Mar 2021 by tugrulGtx

Accessing VRAM-cached nucleotide sequences in FASTA formatted files (*.fna, *.faa) by index

Faster JPEG2000 Viewer

6 Jan 2014 by Adam Wojnar

Simple .jp2/.j2k viewer using Kakadu executables demonstration pack for decoding

Fun with Blurs and Blends

30 May 2013 by Doug Wyrembek

A fun utility to apply blend modes to an image.

GCN Assembler for AMD GPUs

17 Apr 2016 by Ryan Scott White

an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language

Getting Started with OpenCL™ Code Builder

7 Apr 2015 by Android on Intel

The intention of this guide is to provide quick steps to create, build, debug, and analyze OpenCL™ applications with the OpenCL™ Code Builder, a part of Intel® Integrated Native Development Environment (Intel® INDE)

GPGPU image processing basics using OpenCL.NET

3 Dec 2012 by Ilya Suzdalnitski

Image processing basics on the GPU using OpenCL.NET.

image-processing

GPGPU on Accelerating Wave PDE

13 Oct 2012 by Alesiani Marco

A Wave PDE simulation using GPGPU capabilities

GPGPU Papyrus Demo

22 May 2013 by John Michael Hauck

It has never been easier for C# desktop developers to write code that takes advantage of the amazing computing performance of modern graphics cards. In this post I will share some techniques for solving a simple (but still interesting) image analysis problem. Source Code https://www.assembla.com/co

GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

20 Jan 2015 by Android on Intel

This tutorial shows how to use two powerful features of OpenCL™ 2.0: enqueue_kernel functions that allow you to enqueue kernels from the device and work_group_scan_exclusive_add and work_group_scan_inclusive_add

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.

How to Develop Native Android* Applications with Intel® INDE 2015 Eclipse* Integration

2 Feb 2015 by Android on Intel

This tutorial will guide you through Intel® INDE 2015 installation and demonstrate how to develop native Android* applications that target either x86 based or ARM based processors.

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How to develop Native Android* Apps with Intel® INDE 2015 Visual Studio* IDE Integration?

20 Jan 2015 by Android on Intel

This tutorial will guide you through writing a native “Hello World” Android* app in Visual Studio* through the IDE Integration feature of Intel® INDE 2015.

How to Get Started with TensorFlow

24 Oct 2017 by Packt Publishing

In this section, we'll take our first steps in using the low-level TensorFlow API.

How To Optimize A Parallel Stable Sort Performance Using The Revolutionary Intel® oneAPI HPC Toolkit

7 May 2020 by Arthur V. Ratz

In this article I will thoroughly discuss about the several aspects of using the revolutionary new Intel® oneAPI HPC Toolkit to deliver a modern code that implements a parallel “stable” sort

Intel for Android* Developers Learning Series #11: OpenGL ES* Support, Performance, and Features for Android* on the Intel® Atom™ Processor

14 Aug 2014 by Android on Intel

The standard API for 3D graphics on Android is OpenGL ES, which is the most widely used 3D graphics API on all mobile devices today.

parallel-processing

Intel® Computer Vision SDK Developer Guide

24 Oct 2017 by Intel

The Intel® Computer Vision SDK is a new software development package for development and optimization of computer vision and image processing pipelines for Intel System-on-Chips (SoCs).

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Intel® System Studio 2017 Beta

1 Jun 2016 by Android on Intel

Intel® System Studio 2017 Beta has been released. This is the Beta program page which guides you further on Intel® System Studio 2017 Beta new features and enhanced usability experience.

machine-learning

Introduction to Smart Video Technologies from Intel

18 Aug 2017 by Intel

This paper addresses how the Smart Video (SV) system architecture is increasing in complexity and evolving into new industries and use cases.

Introductory Tutorial to OpenCL™

8 Jul 2010 by pnolte64

This article helps make OpenCL™ easier to understand and implement.

IoT Reference Implementation: How-to Build a Face Access Control Solution

10 Oct 2017 by Intel

The Face Access Control application is one of a series of IoT reference implementations aimed at instructing users on how to develop a working solution for a particular problem.

Learn How To Do Alphablending with CUDA

1 Sep 2009 by ChaoJui

Image processing with a burst of performance from CUDA

parallel-processing

Learning Modern OpenGL

20 Sep 2015 by Bartlomiej Filipek

A little guide about modern OpenGL and why it gives us so much value.

Machine Learning on Intel® FPGAs

14 Aug 2017 by Intel

Intel is uniquely positioned for AI development—the Intel’s AI Ecosystem offers solutions for all aspects of AI by providing a unified front end for a variety of backend technologies, from hardware to edge devices.

artificial-intelligence

machine-learning

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Object Recognition using Inference and Single Shot MultiBox Detector (SSD)

25 Jan 2018 by Intel

This tutorial will walk you through the basics of using the Deep Learning Deployment Toolkit's Inference Engine (included in the Intel® Computer Vision SDK).

odeint v2 - Solving ordinary differential equations in C++

19 Oct 2011 by headmyshoulder

odeint v2 - Solving ordinary differential equations in C++

OpenCL™ Device Fission for CPU Performance

5 Dec 2014 by TERENCE S

The Intel SDK for OpenCL Applications provides a rich mix of OpenCL extensions and optional features that are designed for developers who want to utilize all resources available on Intel CPUs. This article focuses on device fission, available as a feature in this SDK.

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OpenCL™ Drivers and Runtimes for Intel® Architecture

18 Sep 2017 by Intel

OpenCL™ Drivers and Runtimes for Intel® Architecture

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OpenCL™ Drivers and Runtimes for Intel® Architecture

13 Feb 2018 by Intel

The SDK includes components to develop applications: IDE integration, offline compiler, debugger, and other tools.

OpenGL / OpenCL Interoperability : A Case Study Using Autostereograms

23 Jul 2014 by martin_bisson

How to use OpenCL with OpenGL to implement algorithms on GPU.

Overview of Intel® Computer Vision SDK and How it Applies to IoT

18 Aug 2017 by Intel

The Intel® Computer Vision SDK is an Intel-optimized and accelerated computer vision software development kit based on the OpenVX standard. The SDK integrates pre-built OpenCV with deep learning support using an included Deep Learning (DL) Deployment toolkit.

parallel-processing

OWASP #6 Preventing Sensitive Data Exposure in ASP.NET – Part 1

16 Feb 2016 by Max R McCarty

OWASP's #6 most vulnerable security risk has to do with keeping secrets secret.

Part 1: OpenCL™ – Portable Parallelism

17 Sep 2010 by manythreads

Curious about GPGPU programming? Read Rob Farber’s Massively Parallel Programming series. Learn how to get more from your CPU, GPU, APU, DSP, and more.

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Part 1: Programming your Graphics Card (GPU) with Java & OpenCL

9 Jun 2010 by JeffHeaton

Learn the basics of how to install and use OpenCL with Java, unleash the power of your GPU.

Part 2: OpenCL™ – Memory Spaces

27 Oct 2010 by manythreads

In his second tutorial, GPGPU expert Rob Farber discusses OpenCL™ memory spaces and the OpenCL memory hierarchy, and how to start thinking in terms of work items and work groups. This tutorial also provides a general example to facilitate experimentation with a variety of OpenCL kernels.

parallel-processing

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Part 3: Work-Groups and Synchronization

6 Jan 2011 by manythreads

In his third tutorial, GPGPU expert Rob Farber will introduce the OpenCL™ execution model and discuss how to coordinate computations among the work items in a work group

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Part 4: Coordinating Computations with OpenCL Queues

10 Mar 2011 by manythreads

Read Rob Farber’s Massively Parallel Programming series. This fourth article in a series on portable multithreaded programming using OpenCL™ will discuss the OpenCL™ runtime and demonstrate how to perform concurrent computations among the work queues of heterogeneous devices.

parallel-processing

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Part 5: OpenCL Buffers and Memory Affinity

24 May 2011 by manythreads

This fifth article in a series on portable multithreaded programming using OpenCL™ Rob Farber discusses OpenCL™ buffers and demonstrates how to tie computation to data in a multi-device, multi-GPU environment.

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Part 6: Primitive Restart and OpenGL Interoperability

2 Apr 2012 by manythreads

This sixth article in a series on portable multithreaded programming using OpenCL™ where Rob Farber discusses how to calculate data in OpenCL™ and render it with OpenGL within the same application.

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Part 7: OpenCL plugins

13 Feb 2012 by manythreads

This article will demonstrate how to create C/C++ plugins that can be dynamically loaded at runtime to add massively parallel OpenCL capabilities to an already running application

Part 8: Heterogeneous workflows using OpenCL

13 Feb 2012 by manythreads

This article will demonstrate how to incorporate OpenCL into heterogeneous workflows via a general-purpose “click together tools” framework that can stream arbitrary messages within a single workstation, across a network of machines, or within a cloud computing framework.

Part 9: OpenCL Extensions and Device Fission

14 Feb 2012 by manythreads

This article discusses OpenCL extensions that provide programmers with additional capabilities such as double-precision arithmetic and Device Fission

Permutations with CUDA and OpenCL

12 Apr 2016 by Shao Voon Wong

Finding lexicographical permutations on GPU

Pick Selection with OpenGL and OpenCL

12 Sep 2013 by Matt Scarpino

Using GPU Acceleration to Compute Ray-Triangle Intersection

Profiling OpenCL™ Applications with System Analyzer and Platform Analyzer

6 Nov 2014 by Maxim_Shevtsov

This article is an overview of the OpenCL support provided in System Analyzer and Platform Analyzer on the Windows* OS

Programming to Offload Image Processing on Android Applications

1 Oct 2015 by Android on Intel

This article walks through an example Android application that offloads image processing using OpenCL™ and RenderScript programming languages.

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QOR Architecture Aspect

11 Jul 2013 by Matthew Faithfull

Querysoft Open Runtime: Architecture compatibility aspect.

Scaling for IoT Market Demands

11 Apr 2017 by Intel

As IoT demand drives increases in data volume, a more powerful processor is required, as well as additional storage.

Serenity - New Build Time - Part 2 - The Benchmarks

28 Aug 2018 by DaveAuld

The pursuit of Serenity, it's new build time!

SGEMM for Intel® Processor Graphics

26 May 2015 by Intel

In this article we are going to demonstrate how to optimize Single precision floating General Matrix Multiply (SGEMM) kernels for the best performance on Intel® Core™ Processors with Intel® Processor Graphics.

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Share How to Get Started Developing for Automated Driving

23 Feb 2017 by Intel

From safe roads to enjoyable commutes, automated driving is poised to change lives and society for the better.

Share Introduction to Developing and Optimizing Display Technology

11 Apr 2017 by Intel

Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.

Sharing Surfaces between OpenCL™ and DirectX 11 on Intel® Processor Graphics

18 Mar 2015 by Intel

This tutorial demonstrates how to share surfaces between OpenCL™ and DirectX 11 with Intel ® Processor Graphics on Microsoft Windows, using the surface sharing extension in OpenCL.

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Solving ordinary differential equations with OpenCL in C++

26 Jul 2012 by headmyshoulder, Denis Demidov

This article shows how ordinary differential equations can be solved with OpenCL. In detail it shows how odeint - a C++ library for ordinary differential equations - can be adapted to work with VexCL - a library for OpenCL. The resulting performance is studied on two examples.

Speed System & IoT Device Application Development with New Intel® System Studio 2018

13 Feb 2018 by Intel

Intel just released Intel® System Studio 2018, an all-in-one, cross-platform, comprehensive tool suite for system and IoT device application development.

SSE2 Vectorization of Alphablend Code

12 Apr 2016 by Shao Voon Wong

Using SSE2 to speed up alphablending.

String Manipulation in the .NET Micro Framework

18 May 2012 by jfriedman

An article on string manipulation in the .NET Micro Framework.

The Intel® Core™ M Processor

6 Nov 2014 by Colleen Culbertson

This article, aimed at developers, will provide a glimpse into this 64-bit, multi-core SOC processor, and gives an overview of the available Intel® technologies, including Intel® HD Graphics 5300.

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Theano Machine Learning on a GPU on Windows 10

30 Nov 2016 by Dino Konstantopoulos

Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015

Tuning Autonomous Driving Using Intel® System Studio

31 Aug 2017 by Intel

Intel® GO™ SDK Offers Automotive Solution Developers an Integrated Solutions Environment

parallel-processing

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Ultra High Quality Image Rotation on a GPU

16 Sep 2013 by Nick Kopp

Ultra high quality frequency domain image rotation on a GPU.

Understanding the FPGA: From Developing Configurations to Building a VGA Driver

18 Feb 2019 by Apriorit Inc, ruksovdev

A detailed description of an FPGA-specific framework called ISE Design Suite, and the main steps you need to take in order to create a VGA driver using FPGA

artificial-intelligence

machine-learning

parallel-processing

Unity Optimization Guide for Intel x86 Platforms: Part 1

19 Apr 2016 by Android on Intel

In this guide, we will show a variety of tools to use as well as features in the Unity software that can help you enhance the performance of your Unity project.

Using OpenCL™ 2.0 Read-Write Images

1 Dec 2015 by Android on Intel

Using OpenCL™ 2.0 Read-Write Images

parallel-processing

Using OpenGL in the Google's Go

10 Nov 2016 by Farhad Reza

This article will show you how you can use the OpenGL graphics library in Google's Go language.

VexCL: Vector expression template library for OpenCL

9 Jan 2013 by Denis Demidov

This article is an introduction to VexCL. VexCL is vector expression template library created for ease of C++ based OpenCL development.

What Resources Are Available to Developers Using Intel® INDE?

16 Sep 2015 by Intel

In this article, we will introduce the components of INDE and show how developers can use them to create new applications and optimize existing applications. To start with Intel® INDE provides support for IDE integration.

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