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C
Published in Philip A. Laplante, Comprehensive Dictionary of Electrical Engineering, 2018
chain reaction a process in which high-energy neutrons emitted from fissile radioactive material are directed into more fissile material such that more neutrons are emitted. The process creates heat which is used to power thermal power plants. chaining when the output stream of one arithmetic pipeline is fed directly into another arithmetic pipeline; used in vector computers to improve their performance. chaining of fuzzy rules a reasoning strategy which searches the knowledge base and chain from rule to rule to form inferences and draw conclusions. In forward chaining, a chain of datadriven rules are evaluated for which the conditional parts are satisfied to arrive at the conclusion. Backward chaining is goal-driven in which subgoals are established, where necessary, through which a chain of rules are selected, eventually satisfying the goal.
Parallel Architectures
Published in Pranabananda Chakraborty, Computer Organisation and Architecture, 2020
Each of the schemes as described has its own merits and drawbacks. While C-access is easy to implement and found suitable in single vector processor configurations, C/S-access is well matched in vector multiprocessor systems for smooth data movement between the memory and multiple vector processors, although requiring extra hardware support in its implementation. Numerous other techniques have been also devised to improve the performance of vector processors, such as, to make arrangement so that a sequence of dependent vector operations can run faster (known as chaining method), arrangement to combat and minimize the harsh effects of conditional execution in a loop, and to effectively handle sparse matrices, etc.
Multiprocessor Systems
Published in Naim A. Kheir, Systems Modeling and Computer Simulation, 2018
Chaining between input and output operands occurs wherever possible without requiring explicit compiler or programmer intervention because the vector register elements are scoreboarded. The single load and store pipe of the μ VP is used for accessing the memory system. The pipe is a 64 bit interface that can generate four addresses on consecutive clock cycles before stalling for the returned data. Once the data are present, on each successive clock cycle a 64 bit word can be transferred. This results in a maximum bandwidth of 400 MBytes/s.
Implication of building inventory accuracy on physical and socio-economic resilience metrics for informed decision-making in natural hazards
Published in Structure and Infrastructure Engineering, 2020
Milad Roohi, John W. van de Lindt, Nathanael Rosenheim, Yuchen Hu, Harvey Cutler
IN-CORE incorporates a risk-based approach to decision-making that enables quantitative comparisons of alternative resilience strategies and is capable of integrating (1) data from the community, (2) physics-based models of inter-dependent physical systems, and 3) socio-economic systems to optimize community disaster resilience planning and post-disaster recovery strategies intelligently. IN-CORE utilizes a cloud computing system with four main components: (1) pyIncore, (2) IN-CORE Web Services, (3) IN-CORE Web Tools, and (4) IN-CORE Lab, which are described in Appendix I. Through these components, users can perform community resilience modeling in Python using the pyIncore library by chaining existing analysis modules with new modules or algorithms and using data repository or other services. Readers are also referred to the IN-CORE website to find other implementation examples of the NIST-CoE testbeds developed for different types of hazards, e.g., Joplin testbed (tornado hazard) and Seaside Oregon testbed (combined seismic and tsunami hazard).
Efficient frequency response computation for low-order modelling of spatially distributed systems
Published in International Journal of Control, 2020
Since the complexity is for some , then for large ϱ we assume the following relationship between wall-clock time and complexity: where is some unknown constant. The gradients of the plots in Figure 6 confirm that the complexity of computing the frequency response of a 2D system is directly from the full-order state-space system, using the subsystem chaining method upon atoms, using the subsystem chaining method upon molecules of optimal size,