Stanford University, in conjunction with Sun, AMD, NVIDIA, IBM, Intel, and HP, is working to create a new computing model that fully exploits modern, multicore processing. As a feature in Ars ...

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.

In a separate effort to facilitate parallel computing, Nvidia recently launched its "2x in 4 Weeks. Guaranteed." program, encouraging programmers to use a directives-based model to double their ...

synchronous parallel computing on a heterogeneous GPU and CPU architecture; robust sparse solver for solving the circuit simulation system of equations; accurate and efficient IC component modeling; ...

Here we introduce jModelTest 2, a program for nucleotide-substitution model selection that incorporates more models, new heuristics, efficient technical optimizations and parallel computing.