CULA is a GPU-accelerated linear algebra library that utilizes the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics.
» Familiar LAPACK interface |
» System Solvers |
» Supercomputing performance |
» Device & host interfaces |
Defense, Sensing, Security 2010
» EM Photonics and the CULA team will be exhibiting and presenting at this year's DSS conference in Orlando, Florida.
CULA 1.2 released
» Major new feature (symmetric eigenvalues)
» New feature (iteratively refined solvers)
» Over 30 new routines in all
» Improved speeds (LU, SVD)
» Improved accuracy (SVD)
» Minor bug fixes
» Minor feature additions
CULA 1.1b released
» Minor bug fixes
If you want to maximize the power of GPUs for faster computations, our experienced engineers are ready to provide their expertise. The CULA development team are experts at solving complex problems for organizations large and small. Learn more...
EM Photonics and the CULA development team offer customized on-site CUDA training. If your company is looking to benefit from GPU computing we can offer a hands-on learning experience.
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.
