A Metrics tab gives you a nice summary of the package and its progress, highlighting the numbers described above. Additionally, if you are using the IIS front end tool for sharing this information via your intranet (Application Gateway), setting a project status to Closed or On Hold in the Project Management tab assigns the same status to the corresponding request in Application Gateway.
Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
The full studio suite, capable of compiling MPI applications, currentlyrequires about 12 GB of disk space when installed (see section Install stepsfor packages with compilers and libraries for detailed instructions).If you need to save disk space or installation time, you could install theintel compilers-only subset (0.6 GB) and just the library packages youneed, for example intel-mpi (0.5 GB) and intel-mkl (2.5 GB).
Using the same version numbers for external packages as for packages knowninternally is useful for clarity, but not strictly necessary. Moreover, with apackages.yaml entry, you can go beyond internally known versions.
The packages intel-parallel-studio and intel (which is a subset of theformer) are many-in-one products that contain both compilers and a set oflibrary packages whose scope depends on the edition.Because they are general products geared towards shell environments,it can be somewhat involved to integrate these packages at their full extentinto Spack.
This temporary stub is required such that the intel-parallel-studio packagecan be installed for the intel compiler (which the package itself is goingto provide after the installation) rather than an arbitrary system compiler.The paths given in cc, cxx, f77, fc must exist, but willnever be used to build anything during the installation of intel-parallel-studio.
The reason for this stub is that intel-parallel-studio also provides thempi and mkl packages and when concretizing a spec, Spack ensuresstrong consistency of the used compiler across all dependencies: [fn8].Installing a package foo +mkl %intel will make Spack look for a packagemkl %intel, which can be provided by intel-parallel-studio+mkl %intel,but not by intel-parallel-studio+mkl %gcc.
Make sure to specify modules: ['intel-parallel-studio-cluster2018.3-intel-18.0.3-HASH'](with HASH being the short hash as displayed when runningspack find -l intel-para...@cluster.2018.3 and the versions adapted accordingly)to ensure that the correct and complete environment for the Intel compilers getsloaded when running them. With modern versions of the Intel compiler you may otherwise seeissues about missing libraries. Please also note that module name must exactly matchthe name as returned by module avail (and shown in the example above).
If you specified a custom variant (for example +vtune) you may want to add this as yourpreferred variant in the packages configuration for the intel-parallel-studio packageas described in Package Preferences. Otherwise you will have to specifythe variant everytime intel-parallel-studio is being used as mkl, fftw or mpiimplementation to avoid pulling in a different variant.
Compiler packages like intel-parallel-studio can easily be above 10 GBin size, which can tax the disk space available for temporary files onsmall, busy, or restricted systems (like virtual machines). The Intelinstaller will stop and report insufficient space as:
The Math Kernel Library (MKL) is provided by several Intel packages, currentlyintel-parallel-studio when variant +mkl is active (it is by default)and the standalone intel-mkl. Because of these different provider packages,a virtual mkl package is declared in Spack.
Likewise, in aMakefilePackageor similar package that does not use AutoTools you may need to provide includeand link options for use on command lines or in environment variables.For example, to generate an option string of the form -I, use:
The package intel intentionally does not have a +mpi variant sinceit is meant to be small. The native installer will always add MPI runtimecomponents because it follows defaults defined in the download package, evenwhen intel-parallel-studio mpi has been requested.
For intel-parallel-studio +mpi, the class function:py:func:.IntelPackage.pset_componentswill include "intel-mpi intel-imb" in a list of component patterns passedto the Intel installer. The installer will extend each pattern word with animplied glob-like * to resolve it to package names that areactually present in the product BOM.As a side effect, this pattern approach accommodates occasional package namechanges, e.g., capturing both intel-mpirt and intel-mpi-rt .
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