An engineering analysis tool for high performance combustors and fuel systems

1998 ◽  
Author(s):  
M. Mawid ◽  
C. Arana ◽  
B. Sekar
Keyword(s):  
High Performance ◽  
Analysis Tool ◽  
Engineering Analysis

scholarly journals The Implementation of Spectral Element Method in a CAE System for the Solution of Elasticity Problems on Hybrid Curvilinear Meshes

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Dmitriy Konovalov ◽  
Anatoly Vershinin ◽  
Konstantin Zingerman ◽  
Vladimir Levin
Keyword(s):  
Mathematical Simulation ◽  
High Performance ◽  
Spectral Element Method ◽  
New Technologies ◽  
Spectral Element ◽  
High Tech ◽  
Engineering Analysis ◽  
Elasticity Problems ◽  
Cae System ◽  
Element Method

Modern high-performance computing systems allow us to explore and implement new technologies and mathematical modeling algorithms into industrial software systems of engineering analysis. For a long time the finite element method (FEM) was considered as the basic approach to mathematical simulation of elasticity theory problems; it provided the problems solution within an engineering error. However, modern high-tech equipment allows us to implement design solutions with a high enough accuracy, which requires more sophisticated approaches within the mathematical simulation of elasticity problems in industrial packages of engineering analysis. One of such approaches is the spectral element method (SEM). The implementation of SEM in a CAE system for the solution of elasticity problems is considered. An important feature of the proposed variant of SEM implementation is a support of hybrid curvilinear meshes. The main advantages of SEM over the FEM are discussed. The shape functions for different classes of spectral elements are written. Some results of computations are given for model problems that have analytical solutions. The results show the better accuracy of SEM in comparison with FEM for the same meshes.

scholarly journals COMPARISON BETWEEN HAAR AND DAUBECHIES WAVELET TRANSFORMIONS ON FPGA TECHNOLOGY

2014 ◽  
pp. 23-29
Author(s):  
Fatma H. Elfouly ◽  
Mohamed I. Mahmoud ◽  
Moawad I. M. Dessouky ◽  
Salah Deyab
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Audio Signal ◽  
Design Procedure ◽  
Discrete Wavelet ◽  
Analysis Tool ◽  
Daubechies Wavelet ◽  
Daubechies Wavelets ◽  
Real Time Processing ◽  
Practical Applications

Recently, the Field Programmable Gate Array (FPGA) technology offers the potential of designing high performance systems at low cost. The discrete wavelet transform has gained the reputation of being a very effective signal analysis tool for many practical applications. However, due to its computation-intensive nature, current implementation of the transform falls short of meeting real-time processing requirements of most application. The objectives of this paper are implement the Haar and Daubechies wavelets using FPGA technology. In addition, the comparison between the Haar and Daubechies wavelets is investigated. The Bit Error Rat (BER) between the input audio signal and the reconstructed output signal for each wavelet is calculated. It is seen that the BER using Daubechies wavelet techniques is less than Haar wavelet. The design procedure has been explained and designed using the stat-of-art Electronic Design Automation (EDA) tools for system design on FPGA. Simulation, synthesis and implementation on the FPGA target technology has been carried out.

scholarly journals MethPanel: a parallel pipeline and interactive analysis tool for multiplex bisulphite PCR sequencing to assess DNA methylation biomarker panels for disease detection

2020 ◽  
Author(s):  
Phuc-Loi Luu ◽  
Phuc-Thinh Ong ◽  
Tran Thai Huu Loc ◽  
Dilys Lam ◽  
Ruth Pidsley ◽  
...  
Keyword(s):  
Dna Methylation ◽  
High Performance ◽  
Complete Analysis ◽  
Disease Detection ◽  
Analysis Tool ◽  
Clinical Implementation ◽  
Sequencing Data ◽  
Fresh Tissue ◽  
Interactive Analysis ◽  
Parallel Pipeline

AbstractBackgroundMultiplex bisulphite PCR sequencing is a convenient and scalable method to comprehensively profile DNA methylation at selected loci. The method is useful for validation of methylation biomarker panels on large clinical cohorts, as it can be applied to DNA isolated from fresh tissue, archival formalin fixed paraffin embedded tissue (FFPET) or circulating cell free DNA in plasma. However, successful clinical implementation of DNA methylation biomarkers for disease detection using multiplex bisulphite PCR sequencing, requires user-friendly sample analysis methods and a diversity of visualisation options, which are not met by current tools.ResultsWe have developed a computational pipeline with an interactive graphical interface, called MethPanel, in order to rapidly analyse multiplex bisulphite PCR sequencing data. MethPanel comprises a complete analysis workflow from genomic alignment to DNA methylation calling and supports an unlimited number of PCR amplicons and input samples. Moreover, MethPanel offers important and unique features, such as calculation of a polymorphism score and bisulphite PCR bias correction capabilities. MethPanel is designed so that the methylation data from all samples can be run in parallel on either a personal computer or a high performance computer. The outputs are also automatically forwarded to a shinyApp for convenient display, visualisation and sharing data with collaborators and clinicians. Importantly the data is centralised in one location, which aids storage management.Availability and ImplementationMethPanel is freely available at https://github.com/thinhong/MethPanelConclusionMethPanel provides a novel parallel pipeline and interactive analysis tool for multiplex bisulphite PCR sequencing to assess DNA methylation marker panels for disease detection.

On the Effect of Inflow Disturbances on the Flow Past a Linear LPT Vane Using Spectral/hp Element Methods

2019 ◽  
Author(s):  
Andrea Cassinelli ◽  
Hui Xu ◽  
Francesco Montomoli ◽  
Paolo Adami ◽  
Raul Vazquez Diaz ◽  
...  
Keyword(s):  
High Performance ◽  
Leading Edge ◽  
High Order ◽  
Software Framework ◽  
Analysis Tool ◽  
Suction Surface ◽  
Present Contribution ◽  
Analysis And Design ◽  
Transition Mechanism ◽  
Moderate Reynolds Number

Abstract The recent development and increasing integration of high performance computing, scale resolving CFD and high order unstructured methods offers a potential opportunity to deliver a simulation-based capability (i.e. virtual) for aerodynamic research, analysis and design of industrial relevant problems in the near future. In particular, the tendency towards high order spectral/hp element methods is motivated by their desirable dispersion-diffusion properties, that are combined to accuracy and flexibility for complex geometries. Previous work from the Authors focused on developing guidelines for the use of these methods as a virtual cascade for turbomachinery applications. Building on such experiments, the present contribution analyzes the performance of a representative industrial cascade at moderate Reynolds number with various levels and types of inflow disturbances, adopting the incompressible Navier-Stokes solver implemented in the Nektar++ software framework. The introduction of a steady/unsteady spanwise-nonuniform momentum forcing in the leading edge region was tested, to break the flow symmetry upstream of the blade and investigate the change in transition mechanism in the aft portion of the suction surface. To provide a systematic synthetic turbulence generation tool, a parallelised version of Davidson’s method is incorporated and applied for the first time in the software framework to a low pressure turbine vane. The clean results of the cascade are compared to various levels of momentum forcing and inflow turbulence, looking at blade wall distributions, wake profiles and boundary layer parameters. Low levels of background disturbances are found to improve the agreement with experimental data. The results support the confidence for using high order spectral methods as a standalone performance analysis tool but, at the same time, underline the sensitivity at these flow regimes to disturbances or instabilities in the real environment when comparing to rig data.

scholarly journals Upgrading a high performance computing environment for massive data processing

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Lucas M. Ponce ◽  
Walter dos Santos ◽  
Wagner Meira ◽  
Dorgival Guedes ◽  
Daniele Lezzi ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
High Performance Computing ◽  
High Performance ◽  
Data Access ◽  
Massive Data ◽  
Analysis Tool ◽  
Data Framework ◽  
Performance Computing ◽  
Massive Data Processing

Abstract High-performance computing (HPC) and massive data processing (Big Data) are two trends that are beginning to converge. In that process, aspects of hardware architectures, systems support and programming paradigms are being revisited from both perspectives. This paper presents our experience on this path of convergence with the proposal of a framework that addresses some of the programming issues derived from such integration. Our contribution is the development of an integrated environment that integretes (i) COMPSs, a programming framework for the development and execution of parallel applications for distributed infrastructures; (ii) Lemonade, a data mining and analysis tool; and (iii) HDFS, the most widely used distributed file system for Big Data systems. To validate our framework, we used Lemonade to create COMPSs applications that access data through HDFS, and compared them with equivalent applications built with Spark, a popular Big Data framework. The results show that the HDFS integration benefits COMPSs by simplifying data access and by rearranging data transfer, reducing execution time. The integration with Lemonade facilitates COMPSs’s use and may help its popularization in the Data Science community, by providing efficient algorithm implementations for experts from the data domain that want to develop applications with a higher level abstraction.

Products/Services Highlights

2003 ◽  
Vol 07 (22) ◽  
pp. 1407-1416
Keyword(s):  
Image Analysis ◽  
Microarray Analysis ◽  
High Performance ◽  
Analysis Tool ◽  
Analysis Software ◽  
Image Analysis Software ◽  
Cancer Diagnostic ◽  
Diagnostic Facility

Latest Cancer Diagnostic Facility in Japan. Rockeby Launches World's First 5-Minute Fungal Test. Bacterial BarCodes' DiversiLab System Leverages on Agilent's 2100 Bioanalyzer. Amersham Biosciences Introduces New High-performance Image Analysis Software. Ocimum Biosolutions' Unique Genowiz™ Microarray Analysis Tool.

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