EM Photonics, Inc., announced today the general availability of CULA 2.0, its GPU-accelerated linear algebra library used by thousands of developers and scientists worldwide. The new version provides support for NVIDIA GPUs based on the latest “Fermi” architecture, which offers HPC users unprecedented performance in double-precision mathematics, faster memory, and new usability features.
CULA contains a LAPACK interface comprised of over 150 mathematical routines from the industry standard for computational linear algebra, LAPACK. EM Photonics’ CULA library includes many popular routines including system solvers, least squares solvers, orthogonal factorizations, eigenvalue routines, and singular value decompositions.
CULA offers performance up to a magnitude faster than highly optimized CPU-based linear algebra solvers. There is a variety of different interfaces available to integrate directly into your existing code. Programmers can easily call GPU-accelerated CULA from their C/C++, FORTRAN, MATLAB, or Python codes. This can all be done with no GPU programming experience. CULA is available for every system equipped with GPUs based on the NVIDIA CUDA architecture. This includes 32- and 64-bit versions of Linux, Windows, and OS X.
Pricing & Availability
CULA is available in three different versions: Basic, Premium and Commercial. CULA Basic is free of charge and includes six of the most popular LAPACK routines in single and single-complex precisions. CULA Premium costs $395 and is a significantly more robust version with additional routines in single, double, single-complex, and double-complex precisions.