In the first of a series of posts spotlighting applications for clusters and clouds, today I’d like to take a look at how Bright Cluster Manager adds value in academia. Later posts in the series will look at the use of high performance computers (HPC), OpenStack, and Hadoop in other settings, and review how and why Bright Cluster Manager adds value.
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Shape the program of the Hadoop Summit Europe 2015 with your votes. Is there a better way to demonstrate community? We think not!
The Summit features 6 tracks. By tapping the expertise of our Hadoop braintrust, we’ve submitted 4 ideas to 3 different tracks. Because we’d like to earn your votes, please allow us elaborate.
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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.
