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MPI application fails to run from host machine on coprocessor

I am trying to run application from host machine on coprocessor but when i execute the command

mpirun -n 2 -host host-name /tmp/test.mic

it hangs on command line and does not show any output.

However when i run directly on coprocessor/host , it works fine. What could be the issue?

offload error: cannot load library to the device 0 (error code 20)

Hi,

      I'm trying to get a peice of compiler assisted offoad code working. The code uses MKL - it's just a test code though. At the moment, the code generates some random numbers on the host CPU, then offloads a functon to the Phi to print "Hello World!". I'm compiling as follows

企业安全技术(3):检查是否Intel平台

企业安全技术(1):检查平台AESNI支持企业安全技术(2):检查平台Secure Key支持中,我们默认的平台是Intel平台,所以有网友问我:如果在其他平台会怎么样?这是一个好问题!对于其他平台,最好的方法是根据它们的软件开发员手册仔细对照一下是否同样支持AESNI或者Secure Key?是否也有同样的检测办法?若开发者仅仅关心Intel平台,并且想自己的企业软件对其他平台免疫,那么最好的方法还是加入平台检查功能。在Intel平台尝试硬件解决方案,其他平台用软件解决方案。那么如何检查当前平台是Intel平台呢?本篇博客将介绍一种软件自动检查的方法。

CPUID提供了CPU的名字获取,对于如图1所示。当EAX=0时候,EBX,ECX,EDX将会存储CPU的名字。

企业安全技术(2):检查平台Secure Key支持

企业安全技术(1):检查平台AESNI支持一文中,笔者介绍了如何检查平台是否支持AESNI指令。对于AES指令的使用,我们需要产生一个随机的Key值,利用这个key值来做相关的数据加解密。按照传统的软件Key产生器而言,Key是通过伪随即数列来产生,这个伪随即数列的种子一般是时间种子。在现在的高速计算机的计算能力,甚至是云计算的出现,让本来很难被破解的Key值变得有很有可能。紧跟行业安全需求,Intel提供了硬件Secure Key产生器,其Key值是通过CPU采集多个管脚数据做为Secure Key的产生熵,管脚数据可以是噪声,可以是某个时间段的数据等。通过这种方式,让产生的随机数会更加的安全和随机。

Intel Learning Series para desarrolladores para Android*, n.º 4: Sensores de tabletas Android

1. Sensores en tabletas Android con procesador Intel® Atom™

Las tabletas basadas en procesadores Intel Atom admiten una amplia variedad de sensores de hardware. Estos sensores se usan para detectar el movimiento y los cambios de posición, e informar los parámetros de entorno del ambiente. El diagrama de bloques de la Figura 1 muestra una posible configuración de sensores en una tableta Android basada en procesador Intel Atom típica.

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  • Intel for Android* Developers Learning Series #5: Installing the Android* SDK for Intel® Architecture

    1  Supported Operating Systems

    The following operating systems are supported:
    •    Windows XP* (32-bit), Vista* (32- or 64-bit), or Windows 7* (32- or 64-bit)
    •    Mac OSX* (32- or 64-bit)
    •    Linux* (Ubuntu, Fedora); GNU C Library (glibc) 2.7 or later is required.
    •    On Ubuntu Linux, version 8.04 or later is required.
    •    On Fedora, target versions are F-12 and higher.
    •    64-bit distributions must be capable of running 32-bit applications.

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  • Intel Learning Series para desarrolladores para Android*, n.º 9:Representación de gráficos en Android para la arquitectura Intel® mediante el uso de la biblioteca SVG

    Scalable Vector Graphics* (que significa Gráficos Vectoriales Redimensionables y se conoce por sus siglas SVG) es una familia de especificaciones de un formato de archivo basado en XML para gráficos vectoriales bidimensionales, tanto estáticos como dinámicos (es decir, interactivos o animados), texto o gráficos de trama incrustados. La especificación SVG es un estándar abierto exento del pago de regalías e independiente del proveedor que ha estado desarrollando el World Wide Web Consortium* (W3C) desde 1999.

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  • Intel for Android* Developers Learning Series #9:Using the Scalable Vector Graphics Library to Render Graphics on Android for Intel® Architecture

    Scalable Vector Graphics* (SVG) is a family of specifications of an XML-based file format for two-dimensional vector graphics, both static and dynamic (that is, interactive or animated), text or embedded raster graphics. The SVG specification is a royalty-free vendor-neutral open standard that has been under development by the World Wide Web Consortium* (W3C) since 1999.

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