Description
Large linear algebra problems can run across distributed-memory computers through scalable LAPACK routines. This is useful for scientific computing, HPC clusters, and engineering workloads that exceed one machine's memory or CPU capacity.
It is a numerical library, not an app. Correct results depend on matching BLAS, MPI, data layout, and problem setup, so developers should validate outputs and performance.