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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.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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
Strontium: Supply-and-demand success for the DOE’s Isotope Program
The Department of Energy’s Isotope Program (DOE IP) announced last week that it would end its “active standby” capability for strontium-82 production about two decades after beginning production of the isotope for cardiac diagnostic imaging. The DOE IP is celebrating commercialization of the Sr-82 supply chain as “a success story for both industry and the DOE IP.” Now that the Sr-82 market is commercially viable, the DOE IP and its National Isotope Development Center can “reassign those dedicated radioisotope production capacities to other mission needs”—including Sr-89.
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.