ARCHIVED: What is the Intel Math Kernel Library, and where is it installed at IU and on XSEDE?

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The Intel Math Kernel Library (MKL) provides Fortran routines and functions that perform a wide variety of operations on vectors and matrices. The MKL contains the complete set of functions from the Basic Linear Algebra Subroutines (BLAS), the extended BLAS (sparse), and the complete set of Linear Algebra Package (LAPACK) routines. The MKL also includes fast Fourier transform functions, and vector mathematical functions with Fortran and C interfaces. Additionally, MKL is highly optimized for use on Intel processor-based systems. For details, see Intel's MKL overview.

At Indiana University, the ACML library is available on Big Red II, Mason, and Karst.

Mason, Indiana University's large memory computer cluster, will be retired on January 1, 2018. For more, see ARCHIVED: About the Mason retirement.

To determine which Extreme Science and Engineering Discovery Environment (XSEDE) digital services have this application installed, use the XSEDE User Portal Software Search. Enter the application name in the Search software box. As you type, search results (i.e., systems with that application installed) are returned automatically. To list all available applications, leave the Search software box empty, and then sort the results by digital service (click Resources), category (click Science Category/Domain), or Service Provider (click Sites).

Similarly, to determine whether an XSEDE Science Gateway provides access to this application, use the search tool on the Gateway Applications page in the XSEDE User Portal.

If this application is not listed, most likely it is not installed on any XSEDE digital services nor accessible from any XSEDE Science Gateways. If a scientific application that is integral to your research is not available, or if a necessary module associated with an installed package is not available, contact the XSEDE Help Desk to request its installation.

This document was developed with support from National Science Foundation (NSF) grants 1053575 and 1548562. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.

This is document axdz in the Knowledge Base.
Last modified on 2018-01-18 15:54:36.

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