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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
Jie Liu, Lihua Chi, Wang QingLin, Gong Chunye, Jiang Jie, Gan Xinbiao, Li Shengguo, Qingfeng Hu, Tom Masterson
Nuclear Science and Engineering | Volume 184 | Number 4 | December 2016 | Pages 527-536
Technical Paper | doi.org/10.13182/NSE15-53
Articles are hosted by Taylor and Francis Online.
Sweep scheduling methods used in particle transport problems belong to the class of precedence-constrained scheduling problems that are NP-complete. It is difficult to schedule local tasks for this type of transport problem and simultaneously optimize computational performance and parallel processor communication. In this paper, we present a parallel spatial-domain-decomposition algorithm to divide the tasks among the available processors. We also present a new algorithm for scheduling tasks within each processor. The scheduling algorithm has the required data and does not need to communicate with any other processor. This algorithm optimizes and assigns task priorities within the processor. Computational tasks whose results are required by another processor receive the highest priority. We combined these two algorithms to solve two-dimensional particle transport equations on unstructured grids. Our results show good performance and scalability up to 16 384 processors on the TianHe-2 supercomputer.