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Abstract
: This course is an introduction to High-Performance Computing (HPC) on
the Alliance clusters.
We will start with the cluster hardware over
view\, then talk about some basic tools and the software environment on ou
r clusters.
Next we'\;ll give a quick tour of various parallel p
rogramming frameworks such as OpenMP\, MPI\, HPC Python libraries Dask and
Ray\, newer parallel languages such as Chapel and Julia\, and we'\;ll
try to compile some serial\, shared-memory and distributed-memory codes us
ing makefiles.
We'\;ll then proceed to working with the Slurm sc
heduler\, submitting and benchmarking our previously compiled codes. We wi
ll learn about batch and interactive cluster usage\, best practices for su
bmitting a large number of jobs\, estimating your job'\;s resource requ
irements\, and managing file permissions in shared cluster filesystems.
There will be many demos and hands-on exercises on our training clust
er.