All the experiments are performed on a computer cluster with 43 compute nodes, each of which has 16 Intel XEON E5520 (2.26 GHz) CPUs and 11.7 GB RAM.
GRID calculations are based on the architecture of computer networks of the individual compute nodes.
How do we coordinate synchronization between the different compute nodes involved in a computation?
For all the analyses we used an adaptive heating scheme with 4 concurrent chains; the analyses were run on a cluster computer using up to 80 compute nodes.
If a more powerful workstation with larger number of compute nodes is applied, the computation time can be much less than 30 minutes.
The performance of ParaSAM was evaluated using one master computer with between 1 to 7 compute nodes.
The computations are run on a Linux cluster computing environment with 200 compute nodes, and each node takes around 36 hours.
Due to the parallel nature of the 2000 trials, computation times were alleviated by distributing the tasks onto a cluster of 160 compute nodes.
We used 32 compute nodes for the reconstruction.
We consider both the performance and reliability status of compute nodes in making selection decisions.
Data and applications will move off the desktop and into more centralized compute nodes, enabling accessibility and collaboration.
