icl-utk-edu / lapackpp

LAPACK++ is a C++ wrapper around CPU and GPU LAPACK and LAPACK-like linear algebra libraries, developed as part of the SLATE project.
https://icl.utk.edu/slate/
BSD 3-Clause "New" or "Revised" License
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C++ API for the Linear Algebra PACKage

Innovative Computing Laboratory

University of Tennessee


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About

The Linear Algebra PACKage (LAPACK) is a standard software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares problems, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky, etc. LAPACK was originally written in FORTRAN 77, and moved to Fortran 90 in version 3.2 (2008). LAPACK provides routines for handling both real and complex matrices in both single and double precision.

The objective of LAPACK++ is to provide a convenient, performance oriented API for development in the C++ language, that, for the most part, preserves established conventions, while, at the same time, takes advantages of modern C++ features, such as: namespaces, templates, exceptions, etc.

LAPACK++ is part of the SLATE project (Software for Linear Algebra Targeting Exascale), which is funded by the Department of Energy as part of its Exascale Computing Initiative (ECP). Closely related to LAPACK++ is the BLAS++ project, which provides a C++ API for BLAS and Batch BLAS.

LAPACKPP


Documentation

Getting Help

For assistance, visit the SLATE User Forum at https://groups.google.com/a/icl.utk.edu/forum/#!forum/slate-user. Join by signing in with your Google credentials, then clicking Join group to post.

Bug reports can be filed directly on Github's issue tracker: https://github.com/icl-utk-edu/lapackpp/issues.


Resources

Contributing

The SLATE project welcomes contributions from new developers. Contributions can be offered through the standard Github pull request model. We strongly encourage you to coordinate large contributions with the SLATE development team early in the process.


Acknowledgments

This research was supported by the Exascale Computing Project (17-SC-20-SC), a joint project of the U.S. Department of Energy's Office of Science and National Nuclear Security Administration, responsible for delivering a capable exascale ecosystem, including software, applications, and hardware technology, to support the nation’s exascale computing imperative.

This research uses resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. This research also uses resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.


License

Copyright (c) 2017-2023, University of Tennessee. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright holders or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.