"OptimaNumerics is excited to bring to market OptimaNumerics high performance numerical libraries to the NVIDIA Tesla GPU platform", stated Dr. Kenneth Tan, founder and CEO of OptimaNumerics. "OptimaNumerics Libraries for NVIDIA Tesla will remove a key hurdle for software developers and end users to enable applications to run on NVIDIA GPUs without having to perform custom programming for standard numerical operations."

With OptimaNumerics Libraries, applications written in high level languages such as C and Fortran, will be able to transparently access NVIDIA GPUs. This combination of the high performance of NVIDIA Tesla GPU platform with OptimaNumerics Libraries will enable software developers to save development time and costs and enable end users to dramatically reduce time to computational results.

"NVIDIA is excited to partner with OptimaNumerics to bring OptimaNumerics Libraries to the high performance computing market with $6 billion addressable market. OptimaNumerics adds a key part to the NVIDIA software ecosystem", stated Andy Keane, GM of NVIDIA GPU Computing. "OptimaNumerics unleashes the power of GPU computing for technical and scientific applications. Existing code and those under development will benefit likewise."

The highly parallel NVIDIA Tesla GPU with 128 processor cores and a parallel data cache is a natural fit with OptimaNumerics technologies which matured on large scale supercomputers and trusted by major supercomputing and scientific research centers around the world.

OptimaNumerics Libraries, with linear algebra, parallel linear algebra and parallel random number generators modules, provide high performance versions of LAPACK, ScaLAPACK, PETSc, SuperLU, PLFG and SPRNG libraries.

OptimaNumerics' innovative technologies have consistently delivered superior performance and portability across a wide range of platforms including: the AMD Opteron, Intel Xeon, Intel Itanium 2 and SPARC processor families, plus platforms from other vendors, running Linux, Solaris 10 and Microsoft Windows CCS.