SCIENCE. ENGINEERING. COMPUTING AT SCALE.
Bigger questions.
Better computing.
Explore the workloads, systems and decisions
that turn exceptional compute into useful results.
For research teams, industry and the people building what comes next.
BEGIN WITH THE WORK
Performance starts
with a problem.
A supercomputer is more than a faster machine. It is a connected system built around the work it needs to do.
From a climate model to an engineering simulation, the useful question is what needs to finish, at what accuracy, and within which constraints.
See how the system fits together →WORKLOAD LANDSCAPES
What will you ask
the system to do?
Climate & weather
How much of the model can scale together?
Explore Solvers and iterationEngineering & design
Does a faster run improve the design cycle?
Explore Accuracy and memoryMaterials & chemistry
Which kernels dominate the research run?
Explore Many independent tasksLife sciences
Is the bottleneck one large run or many small ones?
Explore Simulation plus dataEnergy & the subsurface
Can data reach the compute fast enough?
Explore Models meet simulationScientific AI
Where does AI improve the scientific workflow?
ExplorePERFORMANCE IN CONTEXT
The right measure.
The right question.
A benchmark is evidence about a particular test. A research result needs the application, the data and the conditions behind it.
Read the benchmark guide →Dense linear algebra
Keep measured performance separate from peak.
A different computational profile
Read the test, configuration and workload.
Mixed-precision calculation
Do not label it as the same FP64 HPL run.
THE PHYSICAL SYSTEM
Compute has
a footprint.
Power, heat and service access belong in the architecture from the start. Separate peak installed capacity from average energy use.
Explore a facility scenario →No assumed tariff. No promised cooling saving.
Your inputs stay visible.
THE PLANNING LAB
Useful questions.
Working tools.
Workload Explorer
Find the questions that shape your architecture.
Scaling Lab
See the limits before adding nodes.
Facility Planner
Put power and period in the same picture.
Project Brief
Make a technical conversation reviewable.
RESEARCH DESK
Read the evidence.
Keep the context.
PERFORMANCE · RESEARCH NOTE
More nodes need better evidence.
Strong scaling holds the total problem size fixed. Weak scaling increases total work while keeping work per processor fixed. The two experiments answer different questions.
Read the note →FACILITIES · RESEARCH NOTE
Cooling starts with a boundary.
PUE compares total facility energy with IT energy for the same scope and period. It is not a measure of scientific usefulness or the efficiency of an algorithm.
Read the note →BENCHMARKS · RESEARCH NOTE
One benchmark is one view.
The June 2026 TOP500 list is a dated system snapshot. Its headline ordering is based on HPL; that ordering cannot establish the best platform for every scientific application.
Read the note →ARCHITECTURE · RESEARCH NOTE
Different workloads. A connected system.
Current system announcements increasingly connect simulation, AI and data analytics. That convergence makes the application and data path more important, rather than making every workload interchangeable.
Read the note →A CONNECTED ECOSYSTEM
From research
to infrastructure.
System builders, researchers, component developers and operating teams each bring a different part of the answer.
Explore a curated directory of public sources and the roles they describe. Listings are for context; they do not imply a relationship with World Supercomputing.
Explore the ecosystem →