Establish XDB connection on non-shared JTag design

The 60 Pin Debug Port (XDP) Specification Document (DPS) specifies the open chassis Platform requirements to implement a 60 Pin XDP connector to use PHG XDP debug tools and third party vendors that support the 60 Pin XDP interface.

Since Skylake platform, internal boards that will be used as a reference to external customers are required to implement 1 X Merged 60 Pin XDP Connector.

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  • New code release

    We are excited to announce the next release of the Intel® OpenMP* Runtime Library at This release aligns with Intel® Parallel Studio XE 2015 Composer Edition Update 4.

    New Features

    • Debugger support interface added to the OSS library

    Bug Fixes

    • Fixed implementation of task 'final' clause
    • Fixed a crash that occurred when task dependence was used
    • Fixed hierarchical barrier in oversubscription case


    Runtime Design Documentation


    I am starting to dig into the runtime source code and I am wondering if there is any information available about its general organization/design. I am mostly interested in the "task"-related topics, for instance how are inter-task dependencies detected, which scheduling algorithms are implemented, and such things.

    Thanks in advance.

    how to enable multiple cores for openMP


              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");

    Significant Scalability and Performance Improvement for Intel® MKL PARDISO on SMP Systems

    Intel® MKL 11.3 Beta (released in April 2015) contains significant performance and scalability improvements for the direct sparse solver (a.k.a. Intel MKL PARDISO), on SMP systems. These improvements particularly benefit the Intel Xeon Phi coprocessors and Intel Xeon processors with large core counts. As an example, the chart below shows a 1.7x to 2.5x speedup of Intel MKL 11.3 Beta over Intel MKL 11.2, when using the PARDISO to solve various sparse matrices on an Intel Xeon Phi coprocessor with 61 cores.

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