Description
Provides the ROCm hipSPARSE marshalling library for sparse linear algebra. Sparse routines operate efficiently on matrices where most values are zero.
It is useful for scientific computing, graph analytics, simulations, recommender systems, and machine learning workloads using sparse data. Correct performance depends on choosing suitable sparse formats and compatible GPU hardware.