WORLD SUPERCOMPUTING

Begin with the question.

Six illustrative workload landscapes, each with a different architecture and evidence need.

APPLICATION CONTEXTS

The work sets the direction.

How much of the model can scale together?

Does a faster run improve the design cycle?

Which kernels dominate the research run?

Is the bottleneck one large run or many small ones?

Can data reach the compute fast enough?

Where does AI improve the scientific workflow?

NARROW THE CONVERSATION

Filter by the dominant behavior, then use a representative application test to refine the picture. These patterns are educational starting points.