scholarly journals A Performance-Prediction Model for PIC Applications on Clusters of Symmetric MultiProcessors: Validation with Hierarchical HPF+OpenMP Implementation

2003 ◽  
Vol 11 (2) ◽  
pp. 159-176
Author(s):  
Sergio Briguglio ◽  
Beniamino Di Martino ◽  
Gregorio Vlad
Keyword(s):  
Prediction Model ◽  
Performance Prediction ◽  
High Performance ◽  
Symmetric Multiprocessors ◽  
Particle In Cell ◽  
Decomposition Strategies ◽  
Experimental Values ◽  
High Level ◽  
Parallelization Efficiency ◽  
A Performance

A performance-prediction model is presented, which describes different hierarchical workload decomposition strategies for particle in cell (PIC) codes on Clusters of Symmetric MultiProcessors. The devised workload decomposition is hierarchically structured: a higher-level decomposition among the computational nodes, and a lower-level one among the processors of each computational node. Several decomposition strategies are evaluated by means of the prediction model, with respect to the memory occupancy, the parallelization efficiency and the required programming effort. Such strategies have been implemented by integrating the high-level languages High Performance Fortran (at the inter-node stage) and OpenMP (at the intra-node one). The details of these implementations are presented, and the experimental values of parallelization efficiency are compared with the predicted results.

A performance prediction model for BIC-OFDM transmissions with AMC over nonlinear fading channels

2011 ◽  
Author(s):  
Filippo Giannetti ◽  
Ivan Stupia ◽  
Vincenzo Lottici ◽  
Riccardo Andreotti ◽  
Aldo N. D'Andrea ◽  
...  
Keyword(s):  
Prediction Model ◽  
Fading Channels ◽  
Performance Prediction ◽  
A Performance

scholarly journals MODELO DE PREVISÃO DE DESEMPENHO DE TRIATLETAS COM A UTILIZAÇÃO DA ANÁLISE DISCRIMINANTE (TRIATHLETES PERFORMANCE PREDICTION MODEL USING DISCRIMINANT ANALYSIS)

2017 ◽  
Vol 10 ◽  
pp. 111-118
Author(s):  
Domingos Rodrigues Pandeló Júnior
Keyword(s):  
Discriminant Analysis ◽  
Prediction Model ◽  
Performance Prediction ◽  
A Performance

A previsão do desempenho esportivo é relevante para a identificação de talentos e no estabelecimento de estratégias de treinamento. O objetivo do presente artigo é estabelecer um modelo que tenha a capacidade de predizer o desempenho de triatletas. Para isso foi utilizada a análise discriminante, que é uma técnica de análise multivariada. Trabalhou-se com 21 voluntários, sendo 7 profissionais e 14 amadores, todos do sexo masculino. Foram selecionadas variáveis antropométricas, fisiológicas e de treinamento fáceis de serem mensuradas, sem a necessidade de utilização de laboratórios específicos. O presente estudo mostrou que com a utilização de algumas variáveis pode-se buscar inferir a performance de triatletas. A previsão de performance é de vital importância, quer seja para a detecção de talentos, quer seja para a estruturação do treinamento, o que mostra a importância do desenvolvimento de modelos desse tipo.

scholarly journals Workload Decomposition Strategies for Shared Memory Parallel Systems with OpenMP

2001 ◽  
Vol 9 (2-3) ◽  
pp. 109-122 ◽  
Author(s):  
Beniamino Di Martino ◽  
Sergio Briguglio ◽  
Gregorio Vlad ◽  
Giuliana Fogaccia
Keyword(s):  
Programming Languages ◽  
Parallel Programming ◽  
Shared Memory ◽  
Memory Systems ◽  
Particle In Cell ◽  
Decomposition Strategies ◽  
Programming Effort ◽  
High Level ◽  
Memory Architectures

A crucial issue in parallel programming (both for distributed and shared memory architectures) is work decomposition. Work decomposition task can be accomplished without large programming effort with use of high-level parallel programming languages, such as OpenMP. Anyway particular care must still be payed on achieving performance goals. In this paper we introduce and compare two decomposition strategies, in the framework of shared memory systems, as applied to a case study particle in cell application. A number of different implementations of them, based on the OpenMP language, are discussed with regard to time efficiency, memory occupancy, and program restructuring effort.

A performance prediction model for the CUDA GPGPU platform

2009 ◽  
Author(s):  
Kishore Kothapalli ◽  
Rishabh Mukherjee ◽  
M. Suhail Rehman ◽  
Suryakant Patidar ◽  
P. J. Narayanan ◽  
...  
Keyword(s):  
Prediction Model ◽  
Performance Prediction ◽  
A Performance

scholarly journals Research on Performance Prediction Model of Impeller-Type Breather

2019 ◽  
Vol 9 (17) ◽  
pp. 3504
Author(s):  
Xiaobin Zhang ◽  
Weibing Zhu ◽  
Lei Qian ◽  
Miao Li
Keyword(s):  
Prediction Model ◽  
Performance Prediction ◽  
Separation Efficiency ◽  
Operating Condition ◽  
Factors Affecting ◽  
Mean Error ◽  
The Mean ◽  
Main Factors ◽  
Experimental Values ◽  
Impeller Type

To investigate the characteristics of separation and resistance of an impeller-type breather in an aeroengine lubrication system, orthogonal test design is used in calculation of the operating condition. Also, phase coupling of the RNG(Renormalization Group) k − ε model and the DPM model (Discrete Phase Model) is used in calculating the selected operating condition. Through analysis of the results, combined with dimensional analysis, it shows the significance of various influencing factors and the optimal level. Based on this, a general formed dimensionless group equation is established for comprehensive separation efficiency, breather separation efficiency, and ventilation resistance. Also, through the least squares method, the performance prediction model of the breather is obtained considering five operating conditions and six structural parameters. The theoretical calculation of separation efficiency and ventilation resistance of an impeller-type breather can be performed. The results show that: the main factors affecting the separation efficiency are the rotating speed and the number of impeller blades; the main factors affecting the ventilation resistance are the ventilation rate and the diameter of the vent hole; the variation trends of the calculated values of the performance prediction model and the experimental values are consistent. The mean error of the comprehensive separation efficiency is 0.97% and the mean error of the ventilation resistance is 11.73%. The calculated values and the experimental values remain consistent, which proves that this performance prediction model can provide references to the assessment and the design of an impeller breather.

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