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C++ API for the Linear Algebra PACKage
Innovative Computing Laboratory
University of Tennessee
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 project Software for Linear Algebra Targeting Exascale (SLATE), 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.
For assistance with SLATE, email email@example.com.
You can also join the SLATE User Google group by going to
signing in with your Google credentials, and then clicking
- Visit the BLAS++ repository for more information about the C++ API for the standard BLAS.
- Visit the ECP website to find out more about the DOE Exascale Computing Initiative.
- Visit the SLATE website for more information about the SLATE project.
- Visit the SLATE Working Notes to find out more about ongoing SLATE developments.
The SLATE project welcomes contributions from new developers. Contributions can be offered through the standard Bitbucket pull request model. We ask that you complete and submit a contributor agreement. There are two versions of the agreement, one for individuals, and one for organizations. Please look at both to determine which is right for you. We strongly encourage you to coordinate large contributions with the SLATE development team early in the process.
This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering and early testbed platforms, in support of 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.
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