ATI may have the fastest graphics card right now, but NVidia has done the best job at courting developers of games. In addition, NVidia has been at the forefront of championing using the GPU as a way to run parallel simulations faster than on a CPU. Currently, many software programmers use CUDA, and many are transitioning over to OpenCL. However, not everyone is a software developer, yet they still need the ability to run parallel codes on the GPU. Tech-X Corp comes in to solve that problem. From the NVidia blog post:
Tech-X Corp., a Boulder, CO, software and consulting company specializing in high-performance scientific computing, is working to change that. Its GPUlib is a tool that brings GPU-based computing into the high-level tools used by researchers, including ITT Visual Information Solutions’ IDL, Mathworks’ MATLAB, and that trusty old laboratory standby, Fortran.
via : The World Is Parallel: Tech-X Makes GPU Processing Accessible
