Optimizing Resources with IRIS: Capacity Planning Insights
Discover how IRIS efficiently delivers and manages resources by leveraging existing infrastructures, providing a wide range of CPU cores, disk storage, and access to AI and HPC clusters. Explore the accuracy of RSAP requests, users of IRIS CPU, and future capacity projections with existing funding. Learn more about IRIS and access data at accounting.iris.ac.uk.
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Presentation Transcript
Capacity Planning and Resource Usage Philip Jackson - IRIS PM philip.jackson@stfc.ac.uk
How does IRIS deliver resources? The IRIS model is to buy into existing infrastructures. This allows us to strengthen our DRI provider partners and further develop the great spirit of cooperation that already exists within the UK s DRI community. This gives us a highly varied and flexible set of resources to allocate to our partner scientific activities. We can use existing governance structures and systems to minimise re-inventing the wheel.
What does IRIS have now? Currently raw IRIS resources in production 20,786 physical CPU cores 13,881 TB of disk storage 23 high memory nodes (1.5-3TB per node) IRIS also has some access to: PEARL AI system https://www.turing.ac.uk/research/asg/pearl SCARF HPC cluster https://www.scarf.rl.ac.uk/ Wilkes 2 GPU Cluster https://www.hpc.cam.ac.uk/systems/wilkes-2
How accurately do RSAP requests/allocations predict need and usage?
IRIS DRI capacity with existing funding Red line indicates end of current IRIS 4x4 funding stream Disk (TB) 20,000 CPU (physical cores) 15,000 40,000 10,000 35,000 5,000 - 30,000 FY17 FY18 FY19 FY20 FY21 FY22 FY23 FY24 FY25 Disk (TB) 25,000 20,000 GPU (V100 + A100 cards) 400 15,000 350 300 10,000 250 200 150 5,000 100 50 - - FY17 FY18 FY19 FY20 FY21 FY22 FY23 FY24 FY25 FY17 FY18 FY19 FY20 FY21 FY22 FY23 FY24 FY25 CPU (physical cores) GPU (V100 + A100 cards)
Would you like to know more? You can view the data yourself at https://accounting.iris.ac.uk/ You read more about IRIS at https://www.iris.ac.uk/ You can email me at philip.jackson@stfc.ac.uk
