scholarly journals Evaluation of the performance of algorithms for synthesizing radar images using Cuda technology

Doklady BGUIR ◽  
2021 ◽  
Vol 19 (6) ◽  
pp. 92-96
Author(s):  
S. V. Kozlov
Keyword(s):  
Parallel Computing ◽  
Computational Complexity ◽  
Aperture Synthesis ◽  
The Real ◽  
Radar Images ◽  
Cuda Technology ◽  
Real Performance ◽  
Radar Information

The features of the implementation of the algorithm for the synthesis of detail radar images for an aperture synthesis radar using the built-in functions of the Cuda library are presented. The estimation of computational complexity from the standpoint of the organization of parallel computing on Nvidia GPUs is given. The estimation of the real performance of radar synthesis is given, taking into account the volume and features of the placement of primary radar information.

scholarly journals TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Carlos Couder-Castañeda ◽  
Carlos Ortiz-Alemán ◽  
Mauricio Gabriel Orozco-del-Castillo ◽  
Mauricio Nava-Flores
Keyword(s):  
Parallel Computing ◽  
Graphics Processing Units ◽  
Forward Modeling ◽  
Gravity Gradient ◽  
Constant Density ◽  
Gravitational Fields ◽  
Design And Implementation ◽  
Cuda Technology ◽  
Performance Results ◽  
Graphics Processing

An implementation with the CUDA technology in a single and in several graphics processing units (GPUs) is presented for the calculation of the forward modeling of gravitational fields from a tridimensional volumetric ensemble composed by unitary prisms of constant density. We compared the performance results obtained with the GPUs against a previous version coded in OpenMP with MPI, and we analyzed the results on both platforms. Today, the use of GPUs represents a breakthrough in parallel computing, which has led to the development of several applications with various applications. Nevertheless, in some applications the decomposition of the tasks is not trivial, as can be appreciated in this paper. Unlike a trivial decomposition of the domain, we proposed to decompose the problem by sets of prisms and use different memory spaces per processing CUDA core, avoiding the performance decay as a result of the constant calls to kernels functions which would be needed in a parallelization by observations points. The design and implementation created are the main contributions of this work, because the parallelization scheme implemented is not trivial. The performance results obtained are comparable to those of a small processing cluster.

scholarly journals Spatial Navigation Complaints are Associated with Anxiety Regardless of the Real Performance in Non-Demented Elderly

2015 ◽  
Vol 04 (04) ◽  
Author(s):  
Katerina Sheardova Jan Laczó ◽  
Martin Vyhnalek Ivana Mokrisova ◽  
Petr Telensky Ross Andel
Keyword(s):  
Spatial Navigation ◽  
The Real ◽  
Real Performance

scholarly journals Education in rights and citizenship instruction: epistemic elucidation as from Paulo Freire

2021 ◽  
Vol 9 (4) ◽  
pp. 22-28
Author(s):  
Ana Beatriz Albuquerque Bento ◽  
Fernando Da Silva Cardoso
Keyword(s):  
Human Rights ◽  
Structural Analysis ◽  
Human Development ◽  
Paulo Freire ◽  
The Real ◽  
Real Performance ◽  
Education In Brazil

Education is undoubtedly a factor that contributes decisively to human development. In this sense, the present study searches to evaluate, based on freirean assumptions, the contemporary scenario of education in Brazil and its reflexes in society. From a historical and structural analysis, the problems that are established as impasses to a contextualized, plural and accessible education are put in check, as we think new paths, from the epistemology of Paulo Freire, for the real performance of students in human rights and citizenship.

Penetrating the real performance of SSE STAR enterprises: A double-market investigation

2020 ◽  
Vol 37 ◽  
pp. 101346
Author(s):  
Wei Zhou ◽  
Ruitao Gu ◽  
Shuai Lu
Keyword(s):  
The Real ◽  
Real Performance

scholarly journals New Computing Technology in Reliability Engineering

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Radim Briš ◽  
Simona Domesová
Keyword(s):  
Parallel Computing ◽  
High Performance ◽  
Rapid Development ◽  
Computation Time ◽  
Scientific Discipline ◽  
Reliability Engineering ◽  
Computing Technology ◽  
Source Codes ◽  
Computation Efficiency ◽  
Cuda Technology

Reliability engineering is relatively new scientific discipline which develops in close connection with computers. Rapid development of computer technology recently requires adequate novelties of source codes and appropriate software. New parallel computing technology based on HPC (high performance computing) for availability calculation will be demonstrated in this paper. The technology is particularly effective in context with simulation methods; nevertheless, analytical methods are taken into account as well. In general, basic algorithms for reliability calculations must be appropriately modified and improved to achieve better computation efficiency. Parallel processing is executed by two ways, firstly by the use of the MATLAB function parfor and secondly by the use of the CUDA technology. The computation efficiency was significantly improved which is clearly demonstrated in numerical experiments performed on selected testing examples as well as on industrial example. Scalability graphs are used to demonstrate reduction of computation time caused by parallel computing.

scholarly journals Analysis of construction sub-processes for the evaluation of the real performance of tower cranes

2021 ◽  
Vol 1203 (2) ◽  
pp. 022132
Author(s):  
Rostislav Doubek ◽  
Dita Hořínková ◽  
Martin Štěrba ◽  
Radka Kantová
Keyword(s):  
Stochastic Approach ◽  
Construction Site ◽  
Construction Sites ◽  
Actual Performance ◽  
The Real ◽  
Construction Machinery ◽  
Tower Crane ◽  
Secondary Transport ◽  
Real Performance ◽  
Time Requirements

Abstract The productivity of work performed at construction sites is primarily dependent on the effective deployment and use of construction machinery. Nevertheless, manufacturers do not state the actual performance of their machinery because it is difficult to determine due to its dependence on the specific conditions present at each construction site. One of the most important machines used in the construction of buildings is the tower crane, which provides secondary transport of material onsite. In order to evaluate the effectiveness of the use of such machines using a deterministic or stochastic approach, a relatively extensive and exact set of data describing the activities of a given tower crane needs to be prepared. These data describe the real requirements of ongoing construction sub-processes with regard to the utilisation of tower cranes. This contribution concerns the analysis of key construction sub-processes during the building of monolithic reinforced concrete structures in connection with secondary transport at the construction site; in particular, it describes the preparation and processing of this data for the evaluation of real time requirements placed on tower cranes.

scholarly journals Liquidity Squeeze on SMEs during the Great Recession in Europe

2018 ◽  
Author(s):  
Fabrizio Coricelli ◽  
Marco Frigerio
Keyword(s):  
Adverse Effects ◽  
Great Recession ◽  
Bargaining Power ◽  
Trade Credit ◽  
Bank Loans ◽  
The Real ◽  
The Great Recession ◽  
Real Performance ◽  
European Economies

We find that European SMEs significantly increased their net trade credit to sales ratio during the Great Recession. For the aggregate of SMEs, trade credit did not provide any buffer to the contraction in bank loans. In fact, through increased net trade credit, SMEs suffered a squeeze in their liquidity and this phenomenon reflects the weak bargaining power of SMEs in their trade credit relationship with larger firms. Therefore, increased net trade credit by SMEs does not reflect an efficient reallocation of credit, and it calls for policy actions. These policy actions are highly relevant, given that the liquidity squeeze had significant adverse effects on the real performance of SMEs, contributing to the recession and to the subsequent timid recovery of European economies. We explore various policies that could be implemented to relieve SMEs from the liquidity squeeze induced by the increase in their receivables.

Parallel Route Optimization Algorithm of Central Guidance

2013 ◽  
Vol 380-384 ◽  
pp. 1571-1575
Author(s):  
Hong Chen ◽  
Hu Xing Zhou ◽  
Juan Meng
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Data Storage ◽  
Route Optimization ◽  
Guidance System ◽  
Network Data ◽  
Traffic Network ◽  
Computing Technique ◽  
The Real ◽  
Guangzhou City

To solve the problem that the central guidance system takes too long time to calculate the shortest routes between all node pairs of network which can not meet the real-time demand of central guidance, this paper presents a central guidance parallel route optimization method based on parallel computing technique involving both route optimization time and travelers preferences by means of researching three parts: network data storage based on an array, multi-level network decomposition with travelers preferences considered and parallel shortest route computing of deque based on messages transfer. And based on the actual traffic network data of Guangzhou city, the suggested method is verified on three parallel computing platforms including ordinary PC cluster, Lenovo server cluster and HP workstations cluster. The results show that above three clusters finish the optimization of 21.4 million routes between 5631 nodes of Guangzhou city traffic network in 215, 189 and 177 seconds with the presented method respectively, which can completely meet the real-time demand of the central guidance.

scholarly journals A Superfast Super-Resolution Method for Radar Forward-Looking Imaging

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 817
Author(s):  
Weibo Huo ◽  
Qiping Zhang ◽  
Yin Zhang ◽  
Yongchao Zhang ◽  
Yulin Huang ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Real Time ◽  
Super Resolution ◽  
Coefficient Matrix ◽  
Resolution Method ◽  
The Real ◽  
L1 Regularization ◽  
Regularization Problem ◽  
Azimuth Resolution ◽  
Forward Looking

The super-resolution method has been widely used for improving azimuth resolution for radar forward-looking imaging. Typically, it can be achieved by solving an undifferentiable L1 regularization problem. The split Bregman algorithm (SBA) is a great tool for solving this undifferentiable problem. However, its real-time imaging ability is limited to matrix inversion and iterations. Although previous studies have used the special structure of the coefficient matrix to reduce the computational complexity of each iteration, the real-time performance is still limited due to the need for hundreds of iterations. In this paper, a superfast SBA (SFSBA) is proposed to overcome this shortcoming. Firstly, the super-resolution problem is transmitted into an L1 regularization problem in the framework of regularization. Then, the proposed SFSBA is used to solve the nondifferentiable L1 regularization problem. Different from the traditional SBA, the proposed SFSBA utilizes the low displacement rank features of Toplitz matrix, along with the Gohberg-Semencul (GS) representation to realize fast inversion of the coefficient matrix, reducing the computational complexity of each iteration from O(N3) to O(N2). It uses a two-order vector extrapolation strategy to reduce the number of iterations. The convergence speed is increased by about 8 times. Finally, the simulation and real data processing results demonstrate that the proposed SFSBA can effectively improve the azimuth resolution of radar forward-looking imaging, and its performance is only slightly lower compared to traditional SBA. The hardware test shows that the computational efficiency of the proposed SFSBA is much higher than that of other traditional super-resolution methods, which would meet the real-time requirements in practice.

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