By Michael O'Neill (NVIDIA), Brandon Harrell (IBM), and Deana Coble (IBM)
If you use or manage scientific, engineering, or enterprise applications, you probably know how NVIDIA Graphics Processing Unit (GPU) cards can provide a significant performance boost. GPU-accelerated computing offers this boost by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on the main CPU. From a user's perspective, applications simply run significantly faster.
NVIDIA Tesla and GRID GPUs... [Continue Reading]