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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Powering the future: How the DOE is fueling nuclear fuel cycle research and development
As global interest in nuclear energy surges, the United States must remain at the forefront of research and development to ensure national energy security, advance nuclear technologies, and promote international cooperation on safety and nonproliferation. A crucial step in achieving this is analyzing how funding and resources are allocated to better understand how to direct future research and development. The Department of Energy has spearheaded this effort by funding hundreds of research projects across the country through the Nuclear Energy University Program (NEUP). This initiative has empowered dozens of universities to collaborate toward a nuclear-friendly future.
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.
