Editing LAPACK (section)

== Implementations ==
As with BLAS, LAPACK is sometimes forked or rewritten to provide better performance on specific systems.  Some of the implementations are:

; Accelerate: [[Apple Inc.|Apple]]'s framework for [[macOS]] and [[IOS (Apple)|iOS]], which includes tuned versions of [[BLAS]] and LAPACK.<ref>{{Cite web|url=https://developer.apple.com/library/mac/#releasenotes/Performance/RN-vecLib/|title=Guides and Sample Code|website=developer.apple.com|access-date=2017-07-07}}</ref><ref>{{Cite web|url=https://developer.apple.com/library/ios/#documentation/Accelerate/Reference/AccelerateFWRef/|title=Guides and Sample Code|website=developer.apple.com|access-date=2017-07-07}}</ref>
; Netlib LAPACK: The official LAPACK.
; Netlib [[ScaLAPACK]]: Scalable (multicore) LAPACK, built on top of [[PBLAS]].
; [[Intel MKL]]: Intel's Math routines for their x86 CPUs.
; [[OpenBLAS]]: Open-source reimplementation of BLAS and LAPACK.
; Gonum LAPACK: A partial native [[Go (programming language)|Go]] implementation.

Since LAPACK typically calls underlying BLAS routines to perform the bulk of its computations, simply linking to a better-tuned BLAS implementation can be enough to significantly improve performance. As a result, LAPACK is not reimplemented as often as BLAS is.

=== Similar projects ===
These projects provide a similar functionality to LAPACK, but with a main interface differing from that of LAPACK: 

; Libflame: A dense linear algebra library. Has a LAPACK-compatible wrapper. Can be used with any BLAS, although [[BLIS (software)|BLIS]] is the preferred implementation.<ref>{{cite web |title=amd/libflame: High-performance object-based library for DLA computations |url=https://github.com/amd/libflame |website=GitHub |publisher=AMD |date=25 August 2020}}</ref>
; [[Eigen (C++ library)|Eigen]]: A header library for linear algebra. Has a BLAS and a partial LAPACK implementation for compatibility.
; MAGMA: Matrix Algebra on GPU and Multicore Architectures (MAGMA) project develops a dense linear algebra library similar to LAPACK but for heterogeneous and hybrid architectures including multicore systems accelerated with [[GPGPU]]s.
; PLASMA: [[The Parallel Linear Algebra for Scalable Multi-core Architectures]] (PLASMA) project is a modern replacement of LAPACK for multi-core architectures. PLASMA is a software framework for development of asynchronous operations and features out of order scheduling with a runtime scheduler called QUARK that may be used for any code that expresses its dependencies with a [[directed acyclic graph]].<ref>{{Cite web |url=http://icl.eecs.utk.edu/ |title=ICL |website=icl.eecs.utk.edu |access-date=2017-07-07 }}</ref>

{{See also|Basic Linear Algebra Subprograms#Similar libraries (not compatible with BLAS)}}