The CULA team is pleased to announce that we are now accepting applications for our upcoming GPU accelerated sparse linear algebra library: CULA Sparse. Separate from our "CULAPACK" library for dense matrices, CULA Sparse features solves and routines designed to work with sparse matrices.
Our first release (Beta1) will feature a handful of iterative solvers (CG, BiCG, BiCG-Stab, GMRES), various storage formats (CSR, CSC, COO), and associated preconditioners (Jacobi, ILU). Future beta versions will introduce more solvers, storage formats, preconditioners, and features.
Please visit our application page to apply for admittance into the beta program. If selected, we'll notify you by e-mail and update your CULA account with access to the CULA Sparse installer.
On Thursday, July 21, at 9AM pacific time I will be conducting a CUDA Webinar Series feature with NVIDIA. I will be covering the basics of CULA, with some emphasis time on the new Link Interface feature from R12. We'll even do a demo with some live applications to show the power of this interface, followed by some live Q&A with the attendees. You must register for this event at NVIDIA's page.