OpenMP*

how to enable multiple cores for openMP

Hi,

          I'm recently learning to use openMP, it can schedule multiple threads for processing speeding up. My host PC has 4 cores, each core has 4 hardware threads. Does openMP also support scheduling  multiple cores for processing?

          As a simple example, I have below code with omp enabled.

    int i;
    printf("openMP begins!\n");
    
    #pragma omp parallel num_threads(4)
    for (i = 0; i < 5; i++)
    {
        printf("Iter:%d\n", i);
    }
          
    printf("openMP ends!\n");

Videos - Parallel Programming with Intel Xeon Phi Coprocessors

Here is a list of recently published videos from Colfax International on Intel(R) Xeon Phi(TM) Coprocessors.

In this video we will discuss software tools needed and recommended for developing applications for Intel Xeon Phi coprocessors. We will begin with software that is necessary to boot coprocessors and to run pre-compiled executables on them.

视频 - 借助英特尔至强融核协处理器实现并行编程

Colfax International 最近发布了下列一组关于英特尔(R) 至强融核(TM) 协处理器的视频。

面向英特尔至强协处理器的软件工具
该视频主要介绍了开发面向英特尔至强融核协处理器的应用时所需要并推荐采用的软件工具。 我们首先介绍启动协处理器以及运行预编译的可执行文件所需的软件。

我的应用是否能受益于 MIC 架构
在本视频中,我们将探讨可在英特尔至强融核协处理器上有效运行的应用类型。 我希望上述介绍能够帮助大家回答“我的应用是否能受益于 MIC 架构?”

Videos - Parallel Programming and Optimization with Intel Xeon Phi Coprocessors

Here is a set of introductory videos from Colfax International on Parallel Programming and Optimization with Intel(R) Xeon Phi(TM) Coprocessors.

In this video episode we will introduce Intel Xeon Phi coprocessors based on the Intel Many Integrated Core, or MIC, architecture and will cover some of the specifics of hardware implementation.

视频 - 借助英特尔至强融核协处理器实现并行编程和优化

下面是 Colfax International 发布的一组关于借助英特尔(R) 至强融核(TM) 协处理器实现并行编程和优化的视频。

第 2.1 集 MIC 架构的用途
在本段视频中,我们将介绍基于英特尔集成众核(或 MIC)架构的英特尔至强融核协处理器,以及硬件实施的几点特性。

第 2.2 集 英特尔 MIC 架构详情
本视频将详细介绍英特尔 MIC 架构的一般属性,然后重点介绍矢量指令支持。

第 2.3 集- 英特尔架构对矢量指令的支持
在本段视频中,我们将介绍矢量指令,以及英特尔至强融核协处理器支持的指令。

Parallel Image Processing in OpenMP - Image Blocks

Hello,
I'm doing my first steps in the OpenMP world.

I have an image I want to apply a filter on.
Since the image is large I wanted to break it into non overlapping parts and apply the filter on each independently in parallel.
Namely, I'm creating 4 images I want to have different threads.

I'm using Intel IPP for the handling of the images and the function to apply on each sub image.

I described the code here:

Intel Cluster Ready FAQ: Software vendors (ISVs)

Why should we join the Intel Cluster Ready program?
A: By offering registered Intel Cluster Ready applications, you can provide the confidence that applications will run as they should, right away, on certified clusters. Participating in the program will help you increase application adoption, expand application flexibility, and streamline customer support.
Learn more about the Intel Cluster Ready program

Q: How do we register an application?

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  • Intel Cluster Ready FAQ: General Questions

    Q: What is the Intel® Cluster Ready program?
    A: Working with hardware and software vendors, Intel created the Intel Cluster Ready program to simplify configuring, deployment, validation, and management of high-performance computing (HPC) clusters. Intel Cluster Ready can help drive adoption of HPC while enabling customers to boost productivity and solve new problems. Learn more about the Intel Cluster Ready program for:
     

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  • Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

    Q: Why should we join the Intel® Cluster Ready program?
    A: By offering certified Intel Cluster Ready systems and certified components, you can give customers greater confidence in deploying and running HPC systems. Participating in the program will help you drive HPC adoption, expand your customer base, and streamline customer support. You will also gain access to the Intel Cluster Checker software tool and the library of pre-certified Intel Cluster Ready system reference designs.

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  • Suscribirse a OpenMP*