Answer :
Final answer:
A high-performance version of LAPACK, designed for distributed-memory parallel computers, is called ScaLAPACK. It includes a subset of LAPACK routines optimized for parallel architectures and extends functionality for efficient operation on multiple processors.
Explanation:
A high performance version of LAPACK is available known as ScaLAPACK (Scalable Linear Algebra PACKage). ScaLAPACK is designed for distributed-memory parallel computers, providing a subset of LAPACK routines redesigned for high performance on such architectures. Not only does ScaLAPACK inherit all the functions of LAPACK, but it also extends functionality to support block-cyclic data distribution and includes routines that can work efficiently on multiple processors.
Developers and researchers use ScaLAPACK for solving large scale linear algebra problems. It is especially used in applications that require solving systems of linear equations, eigenvalue problems, and other mathematical tasks common in scientific computing. To achieve optimal performance, ScaLAPACK often requires a well-tuned BLAS library tailored for the hardware it's running on, such as the optimized Intel Math Kernel Library (MKL) or OpenBLAS for different platforms.
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