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insideHPC Interview about 'Containerized MPI Workloads'

As an aftermath of the 'HPC Advisory Council China Workshop'. Rich invited me to have an interview via Skype about the very same topic.

Apart from the fact that it's always a pleasure to talk to HPC enthusasts like Rich, it was a perfect oportunity to record the slides, since I failed to operate the GoPro and my MacBook Pro propperly. IMHO the recording was even better then the original. For starters I added a MPI Microbenchmark, which provides a nice bare MPI flavor.

HPCAC China 2014: 'Containerized MPI workloads'

On my way back from the 'HPC Advisory Council (HPCAC) China Workshop 2014' it is about time to wrap up my (rather short) trip.

I was presenting my follow-up on docker in HPC. At the ISC14 this summer I talked about the HPC cluster stack side; thus, how to encapsulate the different parts of the cluster stack to shift to a more commoditized one.

As I was interviewed by Rich about this he was continiously asking how this will impact the compute virtualization. My mockup was spawning some compute nodes, but they are not distributed, but sitting ontop of one (pretty) oversubscribed node. Running real workloads was not my intention...

Long story short: 'Challange accepted' was what I was thinking.

OSDC2014 my way to QNIBTerminal - Virtual HPC

On my way home (at least to an intermediate stop at my mothers) from the OSDC2014 I guess it's time to recap the last couple of weeks.

I gave a talk which title reads 'Understand your data-center by overlaying multiple information layers'. The pain-point I had in mind when I submitted the talk was my SysOps days debugging an InfiniBand problem that was connected to other layers of the stack we were dealing with. After being frustrated about it I choose to use my BSc-thesis to tackle this problem. The outcome was a not-scaling OpenSM plug-in to monitor InfiniBand. :) But the basics were not as bad, so I revisited the topic with some state-of-the-art log management (logstash) and performance measurement (graphite) experience I gained over the last couple of month. Et voila, it scales better...