Masterclass: High-performance and Cluster Computing with Microsoft Azure
If you need to run lots of computations, either as a large supercomputer simulation, or hundreds of smaller runs for a parameter sweep calculation, then cloud computing can really help speed up your research. The availability of essentially limitless compute capabilities, on-demand, means that you can achieve more, in less time. No need to queue for your job to run, have your job priority lowered because you’ve run too many jobs, or compete with other users on a shared system. You also have full flexibility to install any software you like, without having to wait for someone else to do it for you. This hands-on session will show you how to setup and run large computing jobs across many machines easily, including with Linux, Docker and MPI, using Microsoft Azure that all Alan Turing Institute researchers have free access to.