https://slides.app.goo.gl/JwW8d Talks Nicholas Thorne, TACC Teach HPC software stack. Small groups or individuals Hardware – hard to find such a resource for teaching system admins. Don’t change tool stacks too often Planning for scale Parallel file systems important, but hard to get training resources. Training is viewed as good Bryan Johnston, South Africa Use older …
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Important to deliver science, especially (now) workflow management. The use of Open Science Grid (USA) for work was noted. ‘CI Practitoner’ where CI is cyberinfrastructure. Science Gateways Community Institute – interfaces to allow people to use systems easily and effectively. Data is extremely important – collection, curation, metadata, availability, fusing data from many sources, etc. …
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Visualisation of results, not during. Spatial and temporal discretisation of complex equations -> errors Chemistry of dust: hard to do (q.v. Sheffield) 300,000 Blue Waters (NCSA) Not all simulations scale (gravity) Simulations on different scales. Simulations of binary stars and their ultimate end. Nebula formation. Takes a long time (6 months wall clock) due to …
Read More “Solar Collisons at the limit of HPC”
I will post more details, and this is a placeholder for that, but BIOS IT has a product which allows two useful things: Access from a container or VM to a hosted GPGPU. This would allow, for example, a workload using Robot Operation System (ROS) which is easiest to install on Ubuntu to be run …
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Resource Aware Scheduling Compact and Exclusive: common in SLURM, SGE, etc. Self-contention, resource under-utlisation are issues. (C-n-E is for example, SLURM node-exclusive). Propose: spread and share model. E.g. share nodes where the resource usages allow them to do that and vice-versa. LLC issues – spreading means fewer issues with cache usage. Cache allocation technology – …
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Who are the people that do this? Research software engineers, Research facilitators Experts (compute platform providers?) Panel: USA centric, so it will be interesting to see how this is different to the position in the UK in terms of the panel’s views. Panel Presentations Bob Sinkovits, XSEDE Mission statement includes: Optimisation. Visualisation. Workflows. Using accelerators. …
Read More “Exchanging Best Practices in Supporting Computational and Data-Intensive Research”
Graph Processing The examples of graphs seemed limited (e.g. social media) when they have also been used for things like 3D representations of small molecules for drug discovery (AURA GraphMatcher and AURAMol that I worked on) as well as in many other areas. Issue of cache misses increases as more concurrent jobs executed on the …
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These notes are fragmentary but I will rework them. First, various awards Main speaker: Discussions of the rovers on Mars Discussion of the composition of Mars. Robots sent to Mars Software for driving not written before launch Parachute.. Lander too heavy. Parachute redesign. Airbags used as terminal velocity still 200kmh. Hard to design such that …
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Talked to the Stuttgart HPC centre. Of particular interest was the use of visualisation of OpenFOAM simulation (in this case to determine the best way for a cyclist to sit on a bicycle) using 3D glasses. This could be useful in many contexts in many universities, not just sport. It was a huge screen, though, …
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Brief summary on the topic of the issue of software and hardware failures being a critical problem. Software failure /technology failure Noted that it’s not just tech but humans Trust relationships are important. For AI good data is critical. Better governance is required. Ethics are vital. CEOs: need to be responsible for a safety culture, …
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