Application scaling
Measure the relationship between cores, memory bandwidth, message passing, and elapsed time as jobs expand.
Workload solution
HPC & Simulation
Turn complex models into usable results.
Follow the scaling behavior.
HPC architecture should reflect how applications use processors, memory, inter-node communication, scratch data, and result workflows.
Application scaling, solver behavior, interconnect traffic, scratch demand, and result handling reveal where an HPC system must spend its performance budget.
Build for numerical efficiency.
Working data
Provide scratch, shared input, result output, visualization, and archiving appropriate to the simulation cycle.
Research operations
Support schedulers, software environments, user access, monitoring, and repeatable job execution.
Describe your simulation workflow.
Share representative models, run times, scaling data, and research workflows to identify the architecture that shortens time to result.
Discuss HPC systems