These tasks deliver a similar features to LAPACK, but which has a principal interface differing from that of LAPACK:

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The Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) undertaking is a modern substitution of LAPACK for multi-core architectures. PLASMA is really a software program framework for enhancement of asynchronous operations and options out of order scheduling using a runtime scheduler referred to as QUARK Which may be useful for any code that expresses its dependencies having a directed acyclic graph.[12]

As with BLAS, LAPACK is typically forked or rewritten to provide superior overall performance on distinct systems. Many of the implementations are:

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A header library for linear algebra. Provides a BLAS and a partial LAPACK implementation for compatibility.

LAPACK was built given that the successor into the linear equations and linear the very least-squares routines of LINPACK plus the eigenvalue routines of EISPACK. LINPACK, prepared while in the seventies and lapak77 1980s, was designed to operate about the then-modern day vector computer systems with shared memory. LAPACK, in contrast, was meant to proficiently exploit the caches on present day cache-primarily based architectures and the instruction-amount parallelism of contemporary superscalar processors,[2]: "Things that Have an impact on General performance"  and thus can operate orders of magnitude quicker than LINPACK on such equipment, provided a perfectly-tuned BLAS implementation.