Linux

Building NumPy and SciPy with Intel Composer 2013 and the MKL

Since Python is widely used as a high-productivity language for scientific computing, Intel has created a page showing how to build NumPy with Intel compilers and the Math Kernel Library (MKL). I would like to clarify a few items regarding building NumPy on a 64-bit Red Hat Enterprise Linux 5.4 system. Since this is a […]

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Managing an HPC cluster or cloud infrastructure: alternatives to xCAT

xCAT is the eXtreme Cloud Administration Toolkit from IBM.  It’s a suite of tools that IBM has developed to manage large groups of servers, such as a cloud infrastructure or a high-performance computing cluster (HPCC).  I have only used xCAT to administer a mid-sized compute cluster (about 140 compute nodes totaling about 1400 cores running

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Hack of the Day: running CFD-ACE+ on Gentoo Linux

CFD-ACE+ is a multiphysics and computational fluid dynamics (CFD) simulation tool that was originally developed by CFD Research Corp. and is now distributed by ESI Software. The only platforms officially supported by CFD-ACE+ are Red Hat Enterprise Linux, SUSE Linux and Windows. Fortunately, it seems that ACE+ runs on other Linux distributions with only a

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Building SciPy with Intel compilers and MKL on 64bit RHEL 5

This is a follow-up to my earlier post about building NumPy with Intel compilers and the Intel MKL on CentOS 5. I will now explain how to build SciPy (which requires NumPy). First, download and unpack the SciPy source tarball. The following command can be used to build SciPy: LDFLAGS=”” FFLAGS=”-fPIC -openmp” python2.7 setup.py build

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