Parallel Processing

parallel-processing

Great Reads

by Tariq A Karim

I always find it difficult to track .Net and C# language release history. E.g. what .net versions are released with different visual studio versions and what features are available in different versions of C# language. So I thought I will compile this information in this blog so I and other can refe

A Beginner's Primer to OpenMP

by logicchild

An article written with the purpose to help any beginner to use OpenMP.

A Client Server File Sharing Application

by Ayobami Adewole

A Client Server File Sharing Application

A Coder Interview With Abhishek Sur

by CodeProject, Abhishek Sur

Welcome to our continuing series of Code Project interviews in which we talk to developers about their backgrounds, projects, interests and pet peeves. In this installment we talk to Abhishek Sur, a herculian CodeProject author and two-time CodeProject MVP.

Latest Articles

.Net and C# release history

by Tariq A Karim

A Beginner's Primer to OpenMP

by logicchild

An article written with the purpose to help any beginner to use OpenMP.

A Client Server File Sharing Application

by Ayobami Adewole

A Client Server File Sharing Application

A Coder Interview With Abhishek Sur

by CodeProject, Abhishek Sur

All Articles

top

parallel-processing

A Beginner's Primer to OpenMP

by logicchild

An article written with the purpose to help any beginner to use OpenMP.

A Coder Interview With Abhishek Sur

by CodeProject, Abhishek Sur

A Comprehensive Look at Concurrency through the OpenMP API

by logicchild

The purpose of this article is to provide a framework to help achieve concurrency by using OpenMP.

A High Performance Monte Carlo Integration Simulation Framework

by PengHeProfessor

A high performance monte carlo simulation framework for financial derivative pricing

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.

Another Look at Achieving Concurrency using C++

by logicchild

An article that provides ways to achieve concurrency via C++

Begin Parallel Programming With OpenMP

by uusheikh

Improve program performance using OpenMP on multi-core systems

CityPulse: Facebook events can be so much more

by Patrick McCurley, Rachel Davey

An Azure based software solution allowing users to discover events around them on a massive scale. Features ASP.net MVC4, Entity Framework and a large importing backend utilizing Azure virtual machines

Cluster Computing

by Lubna Luxmi Chowdhry

Cluster is a term meaning independent computers combined into a unified system through software and networking. Clusters are typically used for High Availability for greater reliability or High Performance Computing to provide greater computational power than a single computer can provide.

Commands Transfer Protocol (CTP) - A New Networking Protocol for Distributed or Parallel Computations

by dum

In this article, an improved version of a new networking protocol for distributed or parallel computations is presented. In common, it is suitable just for fast, reliable and featureful interchange of small messages. The protocol's implementation and demo project are provided.

Concurrent Programming - A Primer

by Marc Clifton

An overview of Microsoft's Parallel FX initiative, including the Task Parallel Library and PLINQ.

Designing and Implementing Synchronization Primitives in Windows user-mode Applications

by Victor Soldatov

Yet another approach to create lightwight synchronization entities in native Windows user-mode applications

Distributed and Parallel Processing using WCF

by gaurav_verma_mca

How to provide parallel and distributed computing capabilities using WCF

Distributed Computing in Small and Medium Sized Offices

by hax_

Introduction to the open-source hxGrid library for distributed computing. Main benefits of the library: cluster uses only idle time of Windows 2000/XP/Vista workstation (no dedicated workstations required); easy to use; free.

Distributed, In-Memory Data Grids Accelerate Map/Reduce Analysis

by William L. Bain, ScaleOut Software

The era of “big data” is upon us, and the need for fast analysis has never been more pressing.

Drawing Fractals via WPF

by logicchild

Why recursion in C# works well when using WPF.

Extended GMM for Background Subtraction on GPU

by phoaivu

GPU Implementation of Extended Gaussian mixture model for Background Subtraction

Fast Image Blurring with CUDA

by ChaoJui

High performance and good quality of image blurring

Filio - Distributed File Management

by Huisheng Chen

Distributed File Management

Find the need for WinFx, understanding for very very beginners

by citc44

Need for winfx technology, reuired tools for winfx, and links for winfx

Fundamental Pragmatics for Successful Programmers

by ChristianNeumanns

A list of useful pragmatics for all programmers

General Windows Service: Debugged as Console Application and Managed with System Tray

by Igor Ladnik

General solution for the Windows service: run as console for debugging, self-installing and -uninstalling, providing description, queuing and processing of messages, status observation and control with icon in system tray. The code may be reused for virtually any Windows service.

GENOME-IN-CODE Project

by Mr. xieguigang 谢桂纲

Introduction to "GENOME-IN-CODE" Project about virtual cell modelling the bacteria Xcc 8004, visit GCModeller.org for the latest news about GCModeller

GMIS: Turn All Your Devices into Robots

by HongBing75

A general robot operating system

Happy 20th Birthday, OpenMP

by Intel

Making Parallel Programming Accessible to C/C++ and Fortran Programmers―and Providing a Software Path to Exascale Computation

How to Build OpenCV for Windows with CUDA

by Vangos

This post will show you how to build OpenCV for Windows with CUDA.

HPC with R: The Basics

by Intel

We’ll begin with a little history and some basics that everyone who picks up R and cares about performance ought to know.

Implementation of Convolutional Neural Network using Python and Keras

by Nikola M. Živković

Implementation of Convolutional Neural Network using Python and Keras

Implementing Parallel Scalable Distribution Counting Algorithm (DCA) with CUDA 8.0 Runtime API

by Arthur V. Ratz

In this article, we'll demonstrate an approach the allows to increase the performance (up to 600%) of the code that implements the conventional distribution counting algorithm (DCA) using NVIDIA CUDA 8.0 Runtime API

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

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.

Introduction to Delphi Prism

by Corinna John

First steps tutorial for Delphi developers.

Introduction to Parallelism in .NET 4.0

by Jonathan Cardy

Introduction to the parallelism features of .NET 4.0 - PLINQ, the TPL and Rx

Julia: A High-Level Language for Supercomputing

by Intel

The JuliaProject Continues to Break New Boundaries in Scientific Computing

Large Scale Machine Learning using NVIDIA CUDA

by Adnan Boz

From spam filters to movie recommendation and face detection, nowadays machine learning algorithms are used everywhere to make the machine think for us. But, running these algorithms require high computation power and in most cases supercomputers. This is where the 500 core GPUs step in...

Learn How To Do Alphablending with CUDA

by ChaoJui

Image processing with a burst of performance from CUDA

Learning Machine Learning, Part 3: Application

by Alibaba Cloud

This post features a basic introduction to machine learning (ML). You don’t need any prior knowledge about ML to get the best out of this article. Before getting started, let’s address this question: "Is ML so important that I really need to read this post?"

Linq DLinq XLinq PLinq All at one place

by Santx - Santosh

Overview of Linq for beginners

MADRaS: A Multi-Agent DRiving Simulator

by Intel

In this article we present MADRaS: Multi-Agent DRiving Simulator. It is a multi-agent version of TORCS, a racing simulator popularly used for autonomous driving research by the reinforcement learning and imitation learning communities

Managed I/O Completion Ports (IOCP) - Part 2

by P.Adityanand

Lock-Free Object Pool, Lock-Free Queue, and Thread Pool for Managed IOCP.

Monitoring and Controlling a Recursing Function in a Worker Thread

by Ben Aldhouse

In this case, how to list files in sub folders nicely.

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

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 CFD with the HiFUN Solver on the Intel® Xeon® Scalable Processor

by Intel

Maximizing HPC Platforms for Fast Numerical Simulations

Parallel Computing and Data Parallelism

by logicchild

An article that focuses on Data Parallelism based on the Multi-Core Processor Technology.

Parallel Computing Concepts via C# 4.0

by logicchild

An article that presents the basics of Parallel Computing in .NET 4.0

Parallel Extensions for the .NET Framework - Part I (Introduction & PLINQ)

by andy404

This article introduces PFX for the .NET Framework and discusses PLINQ.

Parallel fast compression unleashing the power of multi-core machines using the .NET TPL (Task Parallel Library)

by Bharath K A

Parallel fast compression uses TPL to achieve complete usage of a multi-core system. Fast compression compresses files nX times faster, where n = the number of processors in the machine.

Parallel I/O using Parallel HDF5

by Hoi Yen Loo

Design and implementation of the parallel I/O of a CFD code

Parallel Programming Essentials via the Intel TBB

by logicchild

An article meant to introduce and expand upon the Intel Threading Building Blocks threading library

Part 2: OpenCL™ – Memory Spaces

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.

Part 4: Coordinating Computations with OpenCL Queues

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.

Powerful ShellScript for bioinformatics researchers

by Mr. xieguigang 谢桂纲

The ShellScript is originally developed for the debugging of my "genome-in-code" virtual cell simulation engine, but now it becomes a script language for a .Net program.

Ray Tracing a Black Hole in C#

by Mikolaj Barwicki

Approach to visualisation of black hole surrounding using non-linear ray-tracing. Inspired by "Interstellar"

Theano Machine Learning on a GPU on Windows 10

by Dino Konstantopoulos

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

Tiny Framework for Parallel Computing

by Igor Ladnik

This article presents a simple framework for parallel computing applicable to managing operation flow for machine and process control, gaming, simulators, etc.

TLS: An exercise in concurrent programming

by Nicholas Butler

A walkthough about multi-threading an app and a useful helper class

Tuning Autonomous Driving Using Intel® System Studio

by Intel

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

Ultrabook Development My Way

by Abhishek Nandy

In depth details of an Ultrabook

Universal Framework for Science and Engineering - Part 12: Grandiose Projects

by Petr Ivankov

Application of Universal Framework for Science and Engineering for Grandiose Projects

Use of free SocketPro package for creating super client and server applications

by Yuancai (Charlie) Ye

A set of socket libraries for writing distributed computing applications over the internet

Using OpenCL™ 2.0 Read-Write Images

by Android on Intel

Using OpenCL™ 2.0 Read-Write Images

Vectorization Becomes Important―Again

by Intel

Open Source Code WARP3DExemplifies Renewed Interest in Vectorization

Windows Forms, Random Number Generators, and Parallel Programming

by logicchild

An article that demonstrates building a Windows Forms application via Parallel computing