GCRI · Technology
High-performance, cloud and edge computing
High-performance, cloud and edge computing provide the processing and storage capacity for simulation, analytics and digital services. They are both an enabler of risk analysis and a critical dependency for society. Data and Compute stewards this page for the Nexus Consortium.
High-performance, cloud and edge computing in six parts.
- 01The methodWhat high-performance, cloud and edge computing covers
- 02Reference practiceComputing practice is measured by performance, efficiency and reproducibility
- 03In systemic risk workCompute sets the resolution of what can be known
- 04Applied inPlatforms that apply this method
- 05StewardshipWho maintains this page
- 06SourcesWhere this page’s references lead
What high-performance, cloud and edge computing covers.
- 01
Core methods
parallel and distributed computing; workload scheduling; virtualisation and containerisation; capacity planning; fault-tolerant system design; performance benchmarking.
- 02
Data and instruments
system performance logs; job scheduler records; energy and cooling telemetry; benchmark results; service availability records.
- 03
Validation
Systems are tested through benchmarks, load testing and failover exercises. Numerical reproducibility is checked across hardware and software configurations.
- 04
Limits
Concentration in few providers or regions creates shared points of failure. Energy, water and supply chain constraints limit capacity growth.
- 05
Use in risk decisions
Computing capacity determines how fast and at what resolution risks can be modelled. Its concentration is itself a systemic dependency for finance, health and government services.
Computing practice is measured by performance, efficiency and reproducibility.
| Reference | What it sets |
|---|---|
| TOP500 and Green500 | Published lists of supercomputer performance and energy efficiency |
| ISO/IEC 30134 series | Data-centre efficiency indicators |
| MLCommons benchmarks | Machine-learning performance benchmarks |
How the process runs.
Process
High-performance, cloud and edge computing: Build, sign and accept
An admitted mission becomes a cycle project; the build is pinned, verified and signed, and the Global Risks Forum (GRF) records acceptance for exercise, not permission to deploy.
01 Request and sources
- 01Admitted mission becomes a cycle projectRecord · Universe to FoundryAn admitted mission becomes a cycle project with a decision case.
- 02Qualify data sources and resourcesStep · the Global Centre for Risk and Innovation (GCRI)GCRI qualifies data sources and resource offers and builds the scenario models. An offer is not an allocation.
02 Build and verify
- 03Source snapshotRecord · NXS-FAC (blueprints, builds and signing)The snapshot pins the commit, dependencies and generator versions.
- 04Build contractRecord · NXS-FAC (blueprints, builds and signing)The build contract declares the artefact kind, environment and reproducibility envelope.
- 05Integrate and buildModel · GCRIGCRI integrates software and data, signs builds, and tests security and interoperability.
- 06Verification suiteGate · NXS-FAC (blueprints, builds and signing)Required and advisory checks stay separate. Reproducibility needs pinned inputs, declared nondeterminism and independent rebuilds.
03 Sign and admit
- 07Sign the exact artefactStep · NXS-FAC (blueprints, builds and signing)NXS-FAC builds, attests and requests a signature via a scoped signer identity. It holds no key material.
- 08Package admissionStep · NXS-NXQ (software, models and capability lifecycle)NXS-NXQ receives the signed package and keeps admission evidence that binds the task, data class, evaluation suite and expiration.
04 Accept
- 09Core Build ReportRecord · GCRIThe Core Build Report is the go or no-go record. Universe assembles the Core and holds the decision for the exercise.
- 10G3 · Build accepted for exerciseGate · The Global Risks ForumGRF records whether the build is accepted for exercise. A signed build or release candidate is not permission to deploy to production.
The programme year · NXS-FAC · UniverseDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The record order follows the Builds and Releases room lists of NXS-FAC.
Compute sets the resolution of what can be known.
Ensemble size, model resolution and the number of scenarios explored are limited by compute. For systemic risk, compute is also a dependency: public services and science rely on a small number of providers. Reproducibility requires recording the software environment and hardware where results depend on them.
- Record software versions and random seeds.
- Note when results depend on hardware precision.
- Assess continuity of access to compute for critical analysis.
- Applications on Data and Compute and Foundry.
Platforms that apply this method.
- FoundryInstitutionGCRI
- Climate and HazardsInstitutionGCRI
- Artificial Intelligence and Autonomous SystemsInstitutionGCRI
- Data and ComputeInstitutionGCRI
- Space and Earth ObservationInstitutionGCRI
- Digital Public InfrastructureInstitutionGCRI
- Systems Science and ModellingInstitutionGCRI
- Actuarial and Quantitative RiskInstitutionGRA
Who maintains this page.
Data and Compute stewards high-performance, cloud and edge computing: it keeps this description current and reviews how the method is applied across the platforms.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Questions and answers.
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