scholarly journals A Multifaceted Performance Model for the Multiple Percussion Performance Practice: Performance Analysis of Select Works toward Developing a Graduate Curriculum

2020 ◽  
Author(s):  
Mitchell Joseph Greco
Keyword(s):  
Performance Analysis ◽  
Performance Practice ◽  
Performance Model ◽  
Multiple Percussion ◽  
Graduate Curriculum ◽  
Practice Performance

A Fully Coupled Approach for the Integration of 3D-CFD Component Simulation in Overall Engine Performance Analysis

2017 ◽  
Author(s):  
C. Klein ◽  
S. Reitenbach ◽  
D. Schoenweitz ◽  
F. Wolters
Keyword(s):  
Performance Analysis ◽  
Boundary Conditions ◽  
Progress Monitoring ◽  
Cfd Simulation ◽  
System Simulation ◽  
Pressure Ratio ◽  
Performance Model ◽  
Operating Conditions ◽  
Operating Characteristics ◽  
Design Environment

Due to a high degree of complexity and computational effort, overall system simulations of jet engines are typically performed as 0-dimensional thermodynamic performance analysis. Within these simulations and especially in the early cycle design phase, the usage of generic component characteristics is common practice. Of course these characteristics often cannot account for true engine component geometries and operating characteristics which may cause serious deviations between simulated and actual component and overall system performance. This leads to the approach of multi-fidelity simulation, often referred to as zooming, where single components of the thermodynamic cycle model are replaced by higher-order procedures. Hereby the consideration of actual component geometries and performance in an overall system context is enabled and global optimization goals may be considered in the engine design process. The purpose of this study is to present a fully automated approach for the integration of a 3D-CFD component simulation into a thermodynamic overall system simulation. As a use case, a 0D-performance model of the IAE-V2527 engine is combined with a CFD model of the appropriate fan component. The methodology is based on the DLR in-house performance synthesis and preliminary design environment GTlab combined with the DLR in-house CFD solver TRACE. Both, the performance calculation as well as the CFD simulation are part of a fully automated process chain within the GTlab environment. The exchange of boundary conditions between the different fidelity levels is accomplished by operating both simulation procedures on a central data model which is one of the essential parts of GTlab. Furthermore iteration management, progress monitoring as well as error handling are part of the GTlab process control environment. Based on the CFD results comprising fan efficiency, pressure ratio and mass flow, a map scaling methodology as it is commonly used for engine condition monitoring purposes is applied within the performance simulation. Hereby the operating behavior of the CFD fan model can be easily transferred into the overall system simulation which consequently leads to a divergent operating characteristic of the fan module. For this reason, all other engine components will see a shift in their operating conditions even in case of otherwise constant boundary conditions. The described simulation procedure is carried out for characteristic operating conditions of the engine.

scholarly journals Hadoop Performance Analysis Model with Deep Data Locality

Information ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 222 ◽  
Author(s):  
Sungchul Lee ◽  
Ju-Yeon Jo ◽  
Yoohwan Kim
Keyword(s):  
Big Data ◽  
Performance Analysis ◽  
Data Locality ◽  
Performance Model ◽  
Data System ◽  
Analysis Model ◽  
Physical Test ◽  
Data Movement ◽  
Hadoop Distributed File System ◽  
Hadoop System

Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance of the system. The network traffic among nodes in the big data system is reduced by increasing a data-local on the machine. Traditional research increased the data-local on one of the MapReduce stages to increase the Hadoop performance. However, there is currently no mathematical performance model for the data locality on the Hadoop. Methods: This study made the Hadoop performance analysis model with data locality for analyzing the entire process of MapReduce. In this paper, the data locality concept on the map stage and shuffle stage was explained. Also, this research showed how to apply the Hadoop performance analysis model to increase the performance of the Hadoop system by making the deep data locality. Results: This research proved the deep data locality for increasing performance of Hadoop via three tests, such as, a simulation base test, a cloud test and a physical test. According to the test, the authors improved the Hadoop system by over 34% by using the deep data locality. Conclusions: The deep data locality improved the Hadoop performance by reducing the data movement in HDFS.

Preliminary Development of a TRISO Fuel Performance Analysis Code: FFAT

2018 ◽  
Author(s):  
Jian Li ◽  
Ding She ◽  
Lei Shi ◽  
Jing Zhao
Keyword(s):  
Performance Analysis ◽  
Mechanical Performance ◽  
Performance Model ◽  
Fuel Performance ◽  
Triso Fuel ◽  
Coated Particle ◽  
First Results ◽  
Fuel Particles ◽  
Accident Conditions ◽  
Radioactivity Retention

Tristructural isotropic (TRISO) fuel particles are chosen as the major fuel type of High temperature gas cooled reactor (HTGR). The TRISO coated particle also acts as the first barrier for radioactivity retention. The performance of the TRISO coated particle has a significant influence on the safety of HTGR. A set of fuel performance analysis codes have been developed during the past decades. The main functions of these codes are conducting stress calculation and failure probability prediction. PANAMA is a widely used German version fuel performance analysis code, which simulates the mechanical performance of TRISO coated particle under normal and accident conditions. In this code, only a simple pressure vessel model is considered, which is insufficient in stress analysis and fuel failure rate prediction. Nowadays, efforts have been done to update the fuel performance model utilized in PANAMA code, and a new TRISO fuel performance analysis code, FFAT, is under developed. This paper describes the newly updated TRISO fuel performance model and presents some first results based on the updated model.

A PERFORMANCE ANALYSIS OF THREE GENERATIONS OF BLUE GENE

2013 ◽  
Vol 23 (04) ◽  
pp. 1340007
Author(s):  
DARREN J. KERBYSON ◽  
KEVIN J. BARKER ◽  
DIEGO S. GALLO ◽  
DONG CHEN ◽  
JOSE R. BRUNHEROTO ◽  
...  
Keyword(s):  
Performance Analysis ◽  
System Integration ◽  
Power Efficiency ◽  
Performance Model ◽  
Peak Performance ◽  
Comparative Performance ◽  
Application Performance ◽  
Successive Generations ◽  
Blue Gene ◽  
System Configurations

IBMs Blue Gene supercomputer architecture has evolved through three successive generations each providing increased levels of power-efficiency and system densities. From the original Blue Gene/L to P to Q, a higher level of integration has enabled higher single-core performance, larger concurrency per compute node, and a higher level of system integration. Although these changes have brought with them a higher overall system peak-performance, no study has examined in detail the evolution of performance across system generations. In this work we make two significant contributions that of providing a comparative performance analysis across Blue Gene generations using a consistent set of tests, and also in providing a validated performance model of the NEK-Bone proxy application from the DOE CESAR Exascale Co-Design Center. The combination of empirical analysis and the predictive capabilities of the NEK-Bone performance model enable us to not only directly compare measured performance but also allow for a comparison of system configurations that cannot currently be measured. We provide insights into how the changing architectural performance characteristics of Blue Gene have impacted on the application performance, as well as providing insight into what future systems may be able to achieve.

scholarly journals Response Time Analysis of Distributed Web Systems Using QPNs

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Tomasz Rak
Keyword(s):  
Performance Analysis ◽  
Response Time ◽  
Performance Model ◽  
Load Test ◽  
System Response ◽  
System Architectures ◽  
System Response Time ◽  
And Performance ◽  
External Loads ◽  
Web Systems

A performance model is used for studying distributed Web systems. Performance evaluation is done by obtaining load test measurements. Queueing Petri Nets formalism supports modeling and performance analysis of distributed World Wide Web environments. The proposed distributed Web systems modeling and design methodology have been applied in the evaluation of several system architectures under different external loads. Furthermore, performance analysis is done to determine the system response time.

scholarly journals Self-Generating Brayton Cycle Performance Model

1968 ◽  
Author(s):  
H. P. Richter
Keyword(s):  
Mathematical Model ◽  
Performance Evaluation ◽  
Performance Analysis ◽  
Performance Model ◽  
Cycle Performance ◽  
Turbine Engines ◽  
Brayton Cycle ◽  
Working Fluids ◽  
Significant Relationships ◽  
Irreversible Effects

A mathematical model is described which permits the performance analysis of advanced Brayton cycles as used in turbine engines for stationary and flight power plant applications. The model permits the performance evaluation of different working fluids, provides for various component combinations, and facilitates exchange of parameters and variables for off-design point performance and tradeoff studies. The concept of entropy production is used for expressing the losses (irreversible effects, efficiencies) occurring in components of turbine engines. The derived equations permit the use of specific heat as a function of temperature in energy, entropy, and mass flow relations and establish a consistent set which facilitates the generalized performance analysis. Examples related to open and closed Brayton cycles are discussed. Two significant relationships are obtained for the evaluation of working fluids.

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