| Parallel Processing - 9/16/08 @ 8:03 am - By: MikeC - Source: Email |
David Kanter at Real World Technologies has published an article that covers CUDA, NVIDIA's parallel programming model, and the GT200 graphics processing unit (GPU). David has been studying this field for several months and compares architectures to other parallel processors, such as Sun's Niagara, and other GPUs. Here's a snippet:Ironically, of the two GPU vendors NVIDIA turned out to have the most comprehensive and consistent approach to general purpose computation – despite the fact that (or perhaps because) ATI was purchased by a CPU company. This article focuses exclusively on the computational aspects of NVIDIA’s GPUs, specifically CUDA and the recently released GT200 GPU which is used across the GeForce, Tesla and Quadro product lines. We will not delve into the intricacies of the modern 3D pipeline as represented by DX10 and OpenGL 2.1, except to note that these are alternative programming models that can be mapped to CUDA.
Check it out here. |
