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C++ API for the Basic Linear Algebra Subroutines
Innovative Computing Laboratory
University of Tennessee
[TOC]
The Basic Linear Algebra Subprograms (BLAS) have been around for many decades and serve as the de facto standard for performance-portable and numerically robust implementation of essential linear algebra functionality. Originally, they were written in Fortran, and later furnished with a C API (CBLAS).
The objective of BLAS++ 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.
BLAS++ 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 BLAS++ is the LAPACK++ project, which provides a C++ API for LAPACK.
- INSTALL.md for installation notes.
- BLAS++ Doxygen
- SLATE Working Note 2: C++ API for BLAS and LAPACK
- SLATE Working Note 4: C++ API for Batch BLAS
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/blaspp/issues.
- Visit the LAPACK++ repository for more information about the C++ API for LAPACK.
- Visit the SLATE website for more information about the SLATE project.
- Visit the SLATE Working Notes to find out more about ongoing SLATE developments.
- Visit the ECP website to find out more about the DOE Exascale Computing Initiative.
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.
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.
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