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Front-end nuclear fuel supply cooperation: Turning allied interdependence into strategic advantage
The global nuclear revival, which is fueled by unprecedented demand for firm, affordable, dispatchable power for artificial intelligence and data center build-out, energy security imperatives, and climate commitments, has exposed a structural reality of the Western fuel cycle: No single allied nation currently possesses the full suite of front-end capabilities. From mining through conversion, enrichment, fabrication, and the emerging deconversion and metallization steps required for reactor fuels, capability is distributed across Canada, France, Japan, the United Kingdom, and the United States (collectively, the “Sapporo Five”), as well as a small group of close partners.
Feyzi Inanc, Bogdan Vasiliu, Dave Turner
Nuclear Science and Engineering | Volume 137 | Number 2 | February 2001 | Pages 173-182
Technical Paper | doi.org/10.13182/NSE01-A2183
Articles are hosted by Taylor and Francis Online.
An integral transport equation-based industrial radiography simulation code is parallelized using the Message Passing Interface standard on computers with both distributed- and shared-memory architectures. The algorithm involves partitioning of the problem domain into regions that are connected to each other through interface conditions. This results in a simultaneous set of integral transport equations. Each equation in the set is assigned to a different processor in the platform. The new algorithm is subjected to scalability tests in both cluster and shared-memory architectures for a varying number of processors with different problem domain partition strategies. The results show a high level of scalability with favorable results in both architectures.