Microsoft Open R和Intel Xeon Phi [英] Microsoft Open R and Intel Xeon Phi
问题描述
亲爱的,
我有一台工作站配有I7 3770处理器和2台Xeon Phi 3120A,我想用它来加速R。
I have a workstation with an I7 3770 Processor and 2 Xeon Phi 3120A that I want to use to speed up R.
我使用Windows 10和Microsoft R Open 3.3.1与英特尔MKL(由MRO安装)我按照本文的不同方式设置我的环境安德鲁·埃克斯特罗姆和相关链接与英特尔Phi协处理器进行快速并行计算,但我没有管理
来使其工作。
I use Windows 10 and Microsoft R Open 3.3.1 with Intel MKL (installed by MRO) and I set up my enviroment in different ways following this article Fast parallel computing with Intel Phi coprocessors by Andrew Ekstrom and related links but I didn't manage to make it works.
为了测试,我使用了Andrew Ekstrom的文章中的代码,我通过micsmc实用程序检查了PHI的行为。
For testing I used the code from Andrew Ekstrom's article and I checked PHIs behaviour by micsmc utility.
目前我的shell环境设置如下:
At the moment my shell enviroment is set as follow:
INTEL_LICENSE_FILE = C:\Program Files(x86)\ Common Files\Intel \Licenses
INTEL_MPSS_HOME = C:\ Program Files \ Intel \ MPSS \
$
INTEL_MPSS_HOST_SDK = C:\Program Files \ Intel \ MPSS \sdk \
$
KMP_AFFINITY =粒度=精细,平衡
MIC_ENV_PREFIX = MIC
MIC_KMP_AFFINITY =粒度=精细,平衡
MIC_MKL_NUM_THRE ADS = 224
MIC_OMP_NUM_THREADS = 224
MIC_SYSROOT = C:\Program Files\Intel\MPSS \
MKL_HOST_WORKDIVISION = 0.1
MKL_MIC_ENABLE = 1
MKL_MIC_MAX_MEMORY = 8GB
MKL_MIC_WORKDIVISION = 0.9
MKL_NUM_THREADS = 4
MKL_OMP_NUM_THREADS = 4
NUMBER_OF_PROCESSORS = 8
$
OFFLOAD_DEVICES = 0,1
$
OFFLOAD_REPORT = 2
OMP_NUM_THREADS = 4
INTEL_LICENSE_FILE=C:\Program Files (x86)\Common Files\Intel\Licenses
INTEL_MPSS_HOME=C:\Program Files\Intel\MPSS\
INTEL_MPSS_HOST_SDK=C:\Program Files\Intel\MPSS\sdk\
KMP_AFFINITY=granularity=fine,balanced
MIC_ENV_PREFIX=MIC
MIC_KMP_AFFINITY=granularity=fine,balanced
MIC_MKL_NUM_THREADS=224
MIC_OMP_NUM_THREADS=224
MIC_SYSROOT=C:\Program Files\Intel\MPSS\
MKL_HOST_WORKDIVISION=0.1
MKL_MIC_ENABLE=1
MKL_MIC_MAX_MEMORY=8GB
MKL_MIC_WORKDIVISION=0.9
MKL_NUM_THREADS=4
MKL_OMP_NUM_THREADS=4
NUMBER_OF_PROCESSORS=8
OFFLOAD_DEVICES=0,1
OFFLOAD_REPORT=2
OMP_NUM_THREADS=4
有人知道错误吗?
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推荐答案
这可能是您所指的文章,但如果没有,可能会有一些有用的信息:
This may be the article you're referring to, but if not, there may be some useful info at:
http://blog.revolutionanalytics.com/2015/05/behold-t he-power-of-parallel.html
http://blog.revolutionanalytics.com/2015/05/behold-the-power-of-parallel.html
#David Smith
# David Smith
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