Empirical Studies of Neighborhood Shapes in the Massively Parallel Diffusion Model

Author(s):  
Sven E. Eklund
2021 ◽  
Vol 881 ◽  
pp. 77-85
Author(s):  
Dong Yang Lei ◽  
Yu Feng Sun ◽  
Yu Qing Xue ◽  
Guang Yan Zhao

Thin film thermocouple (TFTC) is widely used in high temperature measurement, which is of short response time, less heat residual and integrated structure. Due to the ultra-thin structure of TFTC, the interfacial diffusion has a great influence on its reliability when exposed to high temperature environment, which leads to its performance degradation. Taking thermocouple on the turbine blade as research object, the parallel diffusion model of multilayer thermocouple is proposed based on Fick’s law. The reliability model of the protective layer, the sensitive layer and the insulating layer are established in the basis of the parallel diffusion model. According to the logical correlation among the multilayer films of TFTC, the TTF model of TFTC is given. Finally, an example of reliability model based on multilayer diffusion is simulated by Monte Carlo method, which demonstrates the feasibility of the method and model.


Author(s):  
Tatyana A. Podshibyakina ◽  
◽  
Mikhail S. Konstantinov ◽  
Alisa A. Vasileva ◽  
◽  
...  

The problem of the dynamics of ideological processes as a scientific one can be posed in the following way: what are the patterns and trends in the development of ideological attitudes, and can they not form a protest potential in the youth environment? The aim of this work is the identification of regularities in the formation of ideological consciousness in youth and trends of their dynamics on empirical studies of the group consciousness of South Russia’s students. The theoretical basis is M. Frieden’s morphological approach to the study of ideologies and the author’s concept of the cognitive-ideological matrix. In the development of the concept, the object of the research is the dynamics of ideological concepts, not their morphology (structure). The method of system-dynamic modeling, rarely applied by political scientists, was used to determine trends in ideological attitudes. The model of migration of ideological concepts is based on the Bass diffusion model and is implemented in the AnyLogic simulation system. Statistical data obtained during a survey of 2,500 students in the South of Russia were used as an empirical material necessary for launching the diffusion model. The sample of Rostov Oblast case was 816 respondents. The model of the migration of peripheral ideological concepts in the given period until 2022 reflects the dynamics of all ideological attitudes. In the case of the implementation of three main scenarios of the socioeconomic and political situation – negative, positive and neutral, changes are possible, which are described in terms of the “migration of peripheral ideological concepts”. In the case of a negative scenario, which implies a drastic deterioration of all the most important parameters: a high level of control over the Internet, economic instability, economic crisis, increasing social problems and the threat of military conflicts, with zero support for foreign policy, a left-conservative trend is expected. The situation is returning to the indicators of 2015, conservatives and national patriotic groups are regaining their leading positions, and there is an increase in left-wing radicalism. In the students’ cognitive-ideological matrices, there is a change of peripheral concepts to nuclear ones. The danger of increasing supporters of right-wing radicalism is not noted. In the case of the implementation of positive and neutral scenarios, the status quo of 2019 is practically preserved, that is, the left-liberal trend prevails. It is established that the uncontrolled growth of either right- or left-wing ideological radicalism is not expected, political stability in the Southern region from this point of view is not threatened.


Author(s):  
MARTIN C. HERBORDT ◽  
CHARLES C. WEEMS

Although massively parallel arrays for spatially mapped applications have been proposed since the 1950s42 and built since the 1960s,12 there have been very few systematic empirical studies that cover more than a small fraction of the design space. The problems have included the lack of a test suite of non-trivial application codes; inadequate language support; the difficulties of balancing evaluation performance with flexibility; and balancing test suite portability with accuracy of evaluation. We describe an environment that addresses these problems. A realistic workload including a series of applications currently being used as building blocks in vision research has been constructed. Both flexibility in architectural parameter selection and simulation efficiency are maintained with a novel new technique that combines virtual machine emulation with trace-driven simulation. The trade-off between fairness to diverse target architectures and programmability of the test suite is addressed through the use of operator and application libraries for a small set of critical functions. We also present examples of the type of results we are obtaining, including the effects of changing ALU designs and datapath widths, finding critical points in register set and cache sizes, the benefits of various types of router networks, and the performance cost of processor virtualization.


2021 ◽  
Vol 8 (3) ◽  
pp. 1-25
Author(s):  
Soheil Behnezhad ◽  
Laxman Dhulipala ◽  
Hossein Esfandiari ◽  
Jakub Łącki ◽  
Vahab Mirrokni ◽  
...  

We introduce the Adaptive Massively Parallel Computation (AMPC) model, which is an extension of the Massively Parallel Computation (MPC) model. At a high level, the AMPC model strengthens the MPC model by storing all messages sent within a round in a distributed data store. In the following round, all machines are provided with random read access to the data store, subject to the same constraints on the total amount of communication as in the MPC model. Our model is inspired by the previous empirical studies of distributed graph algorithms [8, 30] using MapReduce and a distributed hash table service [17]. This extension allows us to give new graph algorithms with much lower round complexities compared to the best-known solutions in the MPC model. In particular, in the AMPC model we show how to solve maximal independent set in O (1) rounds and connectivity/minimum spanning tree in O (log log m / n n rounds both using O ( n δ ) space per machine for constant δ < 1. In the same memory regime for MPC, the best-known algorithms for these problems require poly log n rounds. Our results imply that the 2-C YCLE conjecture, which is widely believed to hold in the MPC model, does not hold in the AMPC model.


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