Platforms for Parallel Processing of Task on GPU

Import 05/08/2014Tato bakalářská práce se zabývá zpracováním úloh na grafické kartě. Konkrétním typem úloh jsou paralelní třídící algoritmy. V první části práce se vyskytuje popis technologií CUDA a OpenCL, ve kterých je později třídící algoritmus implementován. Dále je rozebrán princip daného algoritmu a jeho implementace. Následuje profilování a optimalizace třídícího algoritmu. V poslední částí je testování algoritmů na různých grafických kartách a porovnání obou technologií.This thesis deals with the processing tasks to the graphics card. Specific types of tasks are selected sorting algorithms. The first part includes description CUDA and OpenCL technology in which sorting algorithm is implemented. Next it is described the principle of the algorithm and its implementation. Next step is profiling and optimization of sorting algorithm. The last part includes testing these algorithms on different graphics cards and a comparison of both technologies.460 - Katedra informatikydobř

Two ultraviolet radiation datasets that cover China

Ultraviolet (UV) radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization's measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2014. The mean absolute bias error and root-mean-square error are smaller than 30% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes

Stability Analysis of Optimal Trajectory for Nonlinear Optimal Control Problems

Due to the need for numerical calculation and mathematical modelling, this paper focuses on the stability of optimal trajectories for optimal control problems. The basic ideas and techniques are based on the compactness of the optimal trajectory set and set-valued mapping theorem. Through lack of optimal control stability, the result of generic stability for optimal trajectories is obtained under the perturbations of the right-hand side functions of the state equations; in the sense of Baire category, the right-hand side functions of the state equations of optimal control can be approximated by other functions

The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison

The housing sales market in China has flourished and gained considerable interest, while the housing rental market has lagged behind and been ignored over the past two decades. With the acceleration of urbanization, the housing rental demand is rising rapidly. Exploring and comparing the influencing factors on housing sale prices and rental prices has significance for sustainable urban planning and management. Using house purchase transaction and rent transaction data in 2017, as well as the average housing price and rent data in 2016 in Beijing, China, this paper compares the spatial distribution and it employs the hedonic price model and quantile regression model to quantify the average and distributional effects of micro-level influencing factors on housing prices and housing rents. Results show that housing prices and housing rents both have a decentralized distribution with multiple centers, but rents of residential communities with high housing prices may not necessarily be high. Both homeowners and renters prefer properties with good structural, locational, and neighborhood characteristics, as well as a good school attendance zone, whereas they still differ in terms of preferences. Homeowners prefer a higher-quality living environment. Renters are more concerned with proximity to an employment center and public transit convenience. Moreover, the price premium of school quality for homeowners exceeds the premium for renters. Higher-priced homeowners or renters differ in the preferences from lower-priced homeowners or renters. Higher-priced homeowners and higher-priced renters are more willing to live in property with a larger number of bedrooms, proximity to a major employment center, park, or school, as well as a location in a school attendance zone with higher school quality

The Influence of Political Capital on Peasants’ Migration Behavior and Its Implications

This study examined the influence of political capital on the migration behavior of peasant households in China’s equitable urbanization. While existing research has proven that political capital can increase the wages of migrant workers, leading to a higher possibility of their rural-to-urban migration, the direct impact of political capital on migration behavior has not received sufficient attention. As China is one of the largest emerging economies, the impact of political capital on the economy and political transformation is typical. This paper reports a survey of 1120 farmer households from Xinxiang, a traditional agricultural area in central China. Using a binary logit model to test whether peasant households will migrate and a multinomial logit model to test where they will migrate to, this study examined whether political capital had a significant influence on the migration behavior of peasant households. The results suggest that the peasant households with political capital have a higher possibility of moving to urban areas, even though there is a better habitational option, namely, a new village in the local rural area. This suggests that reducing the difference in the political capital of migrants through policy propaganda and other methods is an efficient and effective way to achieve and improve equitable access to urbanization

Effect of low salinity on the survival of postlarvae of the blue shrimp, at different stages

The development of low salinity culture techniques is the major factor that facilitated the wide- spread cultivation of the white shrimp Litopenaeus vannamei in China. Similarly, adaptation to fresh or low salt water is critical for the commercial farming of a related species, the blue shrimp L. stylirostris. To determine the effects of low salinity on L. stylirostris development, the survival of postlarvae was investigated at different levels of salinity at the Haichang Jinhaian Shrimp Breeding Farm and Gulangyu Breeding Farm for Aquatic Animals of the Fisheries Research Institute of Fujian during 2002-2003. Results showed that both salinity and the age of the post- larvae significantly affected survival (p<0.01). The minimum seawater salinity for young postlar- vae was 10-14 ppt and survival rates increased with age. When the post-larvae were 9 days old or older (≥P9), survival did not significantly differ in the low salinity treatments from that of the control (P12). The first hour was the most critical period. If larvae survived the first hour, they usually survived the whole study period (24 h) or longer