I was one of the lucky ones to attend the GPU Technology Conference last week, in Amsterdam. This was NVidia’s first GTC in Europe, and boy was it a success. The event wasn’t even announced until after the US event, and the organisers “conservatively” anticipated 1,000 attendees; 1,700 showed up.Read More >
Who says you can’t get something for nothing? With CUDA 6.5, you can! The something is improved performance. The nothing is no code change required.
NVIDIA made improved performance a focal point of the recent CUDA 6.5 release. For example, if you make use of CUDA-enabled FFTs and/or sparse-matrix routines, all you’ll need to do is recompile your application with this latest release of the toolkit. You’ll see performance improvements without having to change a single character in your source code. Even the size of object files can be optimized through use of the nvprune utility.
Bright Cluster Manager makes every HPC management task fast and easy. In this article, I will show you how to install and verify CUDA 4.1 on a Linux cluster running Bright. In this example, the node atom04 has two NVIDIA C2075 GPUs installed.