The are two HPC clusters, which one should I use: Turing or Wahab?
If I am on Turing how do I access my data through Wahab?
These are questions often posed to me by new people working in Carpenter Lab.
ANSWER:
I recommend using Wahab for your research. It is a newer and faster cluster. It can perform all of our genomic data handling better than Turing. We use Turing for instructional purposes so that students and workshop participants can practice genomic pipelines on smaller data sets.
Long term information storage, that is information stored on the RC drive, is independent of the cluster you log in to. Your data can be accessed from both clusters. Because we are used to our personal computers, it is difficult for us non-computer scientists to visualize how the cluster works. Imagine that your hard drive is in one corner of a room, your mother board in another and you carried a monitor and keyboard with you. In a sense that is how the clusters work, each piece communicating with the other. Turing and Wahab have a scratch drive that can only be accessed through that cluster. I recommend using your scratch directory as a temporary staging area for your data set as you perform your analysis.
I highly recommend reviewing the documentation for the HPC which will give you have a better understanding of the answers to these two questions.
Very respectfully,
Iván