Important Notice! As of June 14, 2013, CULA will no longer be offered as an individually licensed product. Cluster and distribution licenses will be available. Please contact us for additional details.

CULA is a set of GPU-accelerated linear algebra libraries utilizing the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics.

Offering exceptional capability in an easy-to-use package

  • Supercomputing performance. The CULA libraries are over 10x faster than the competition.
  • Simplicity. Our libraries require no GPU programming experience.
  • Advanced interfaces. For usage in C, C++, Fortran, MATLAB, and Python.
  • Cross platform support. Available for Linux, Windows, and Mac OS X.
Provides accelerated implementations of the LAPACK and BLAS libraries for dense linear algebra. Contains routines for systems solvers, singular value decompositions, and eigenproblems. Provides tools necessary to rapidly solve large sparse systems using iterative methods. Multiple algorithms, preconditioners, and data storage formats are supported.
CULA was developed by a team of engineers at EM Photonics in partnership with NVIDIA®. CULA leverages the power of NVIDIA’s Tesla™ many-core computing processor with the CUDA™ architecture for accelerated linear algebra.