CULA Basic A GPU-accelerated linear algebra library
Download

CULA Basic Ranking & Summary

CULA Basic Tags

development Library GPU linear algebra library GPU development GPU library

CULA Basic Description

CULA was developed to be a GPU-accelerated linear algebra library that utilizes the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics. Main features: CULAPACK Functions: CULA contains a "CULAPACK" interface that is comprised of over 150 mathematical routines from the industry standard for computational linear algebra, LAPACK. Our CULA library includes many popular routines including system solvers, least squares solvers, orthogonal factorizations, eigenvalue routines, and singular value decompositions. CULA Performance: CULA offers performance up to a magnitude faster than optimized CPU-based linear algebra solvers. CULA Interfaces: CULA is available in a variety of different interfaces to integrate directly into your existing code. Programmers can easily call GPU-acclerated CULA from their C/C++, FORTRAN, MATLAB, or Python codes. This can all be done with no GPU programming experience. Cross Platform: CULA is available for every system supported by NVIDIA's CUDA. This includes 32- and 64-bit versions of Linux, Windows, and OS X.

CULA Basic Related Software