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Scientific Computing RTP

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This quiz is meant to be useful to you and to us - we want to know if we've conveyed the right information, and made it understandable; you want to know if you understood it. Some of these questions might not seem obvious, but they're not meant to be - they're meant to require a bit of thinking.
What is HPC (High Performance Computing)?
Which of these is the FIRST place to seek help with using the SCRTP cluster machines?
I have a cpu-only (no gpus) job script for a machine with 16 cores/node and 3882MB/core. Can I use it on a different cluster with 28 cores/node and 4571MB/core?
I need a small number of processors, but a lot of memory, more than the 4GB per core available on the Cluster machines. Which of the following options might be suitable for me? Pick all that might apply.
I run a hybrid (MPI and OpenMP) job, asking for 6 tasks (on a single node) and 4 cpus-per-task. Do I get:
(Tricky) I have a code that uses pure OpenMP parallelism. It takes 3 hours on all 16 cores of a single node of a particular cluster (16 core/node). I request 32 cores on 2 nodes. What happens? Choose the answer which is “most correct”.
I run a job on all 16 cores of a single node in a cluster (16 cores/node), but inside my program I use either 16 or 64 OMP threads to parallelise a simple compute loop. What happens? Pick the answer that is “most right”.
An MPI job takes 16 hours on 28 processors, and 8 hours on 112 (28 * 4) processors. Is this good scaling?
For the job in the previous question, roughly what fraction of the work is parallel according to Amdahl’s law?
Why is there a limit to the walltime for jobs on the clusters? Select all that apply.
If your code or job has a bug or error, what is the most important thing to do FIRST?
(Tricky) An algorithm is know to parallelise SO BADLY that more processors would always take longer to complete a calculation than less would. Is there EVER a reason to use more than one core?
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