The NVIDIA cuSOLVER library provides a collection of dense and sparse direct solvers which deliver significant acceleration for Computer Vision, CFD, Computational Chemistry, and Linear Optimization applications.

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cuSOLVER 10.0 contains new optimizations to accelerate applications and help them maximize performance.It performs upto 4x faster than MKL 2018 on symmetric eigensolver.

Key Features

  • cusolverDN: Key LAPACK dense solvers 3-6x faster than MKL.
    • Dense Cholesky, LU, SVD, QR
    • Applications include: optimization, Computer Vision, CFD
  • cusolverSP
    • Sparse direct solvers
    • Symmetric & generalized symmetric eigensolvers
    • Applications include: Newton's method, Chemical Kinetics
  • cusolverRF
    • Sparse refactorization solver
    • Applications include: Chemistry, ODEs, Circuit simulation


The cuSOLVER library is freely available as part of the CUDA Toolkit and OpenACC Toolkit.