Modeling the performance of parallel applications using model selection techniques

Nowadays, parallel architectures are changing so fast that there is a need for scalable and efficient tools to analyze and predict the performance of parallel applications. Analytical models are proved to be a useful approximation for characterizing parallel algorithms, but developing accurate analytical models is a hard issue, and, in general, they provide coarse performance predictions due to their intrinsic lack of accuracy. In this paper, we describe in detail the Tools for Instrumentation and Analysis (TIA) framework, an easy‐to‐use tool that automatically obtains accurate performance models by means of analytical expressions. This framework automatizes most of its internal tasks, reducing opportunities for human error, and it only requires the user to focus on the metrics and execution parameters that might influence the performance, those that should be considered in the modeling process. Its main advantage over other tools is that TIA uses model selection techniques that allow the automation of the modeling process. As a case of study, the use of TIA to obtain analytical models of different implementations of the broadcast collective communication in a cluster of multicores is shown. The results obtained by TIA are evaluated and compared with theoretical approaches based on the LogGP model. Copyright © 2013 John Wiley & Sons, Ltd.     

基于规范变量分析的子空间辨识方法及应用

现代控制理论的研究如滤波、预测、控制等大多建立在系统的状态空间模型形式上,而传统辨识方法需要预先参数化,并且计算比较复杂。本文深入研究和推广一种基于规范变量分析（CVA）的子空间辨识方法,并引入一种新的Akaike信息判据来获得系统阶次,求解过程简单,结果精确。由于此法直接由数据确定系统状态,避免了预先参数化;在计算上,主要依赖于奇异值分解（SVD）,也不会遇到与传统方法有关的数值困难。仿真研究结果表明,引入新的系统阶次求解方法后能很精确的辨识出系统模型,具有十分广阔的应用前景。     

门限自回归模型预测软土地基沉降

以某在建港区软土地基处理工程为例,基于现场监测原始数据,采用时间序列分析方法建立软土地基沉降预测的门限自回归模型,运用最小信息准则(AIC)进行模型参数估计。结果表明,所建立的预测模型其一步预测值精度较高,并可以实现计算机在线建模,对工程进行实时监控,适合该在建港区软土地基处理工程的固结沉降预测。更多还原     

Type I multivariate zero-inflated Poisson distribution with applications

Motivated from the stochastic representation of the univariate zero-inflated Poisson (ZIP) random variable, the authors propose a multivariate ZIP distribution, called as Type I multivariate ZIP distribution, to model correlated multivariate count data with extra zeros. The distributional theory and associated properties are developed. Maximum likelihood estimates for parameters of interest are obtained by Fisher’s scoring algorithm and the expectation–maximization (EM) algorithm, respectively. Asymptotic and bootstrap confidence intervals of parameters are provided. Likelihood ratio test and score test are derived and are compared via simulation studies. Bayesian methods are also presented if prior information on parameters is available. Two real data sets are used to illustrate the proposed methods. Under both AIC and BIC, our analysis of the two data sets supports the Type I multivariate zero-inflated Poisson model as a much less complex alternative with feasibility to the existing multivariate ZIP models proposed by Li et al. (Technometrics, 29–38, Vol 41, 1999).     

Polycrystalline Si films formed by Al-induced crystallization (AIC) with and without Al oxides at Al/a-Si interface

Al-induced crystallization (AIC) without an Al oxide at the Al/a-Si interface (glass/Al/a-Si) was investigated in comparison with the case of an Al oxide (glass/Al/Al oxide/a-Si). The Si crystallization of Al/a-Si during AIC was much faster than that of Al/Al oxide/a-Si. The annealing of glass/Al/a-Si led to poly-Si films with small Si grains compared to that of glass/Al/Al oxide/a-Si. It is difficult to observe the influence of the crystallization temperatures (400–500°C) on the crystallization of glass/Al/a-Si. With annealing of glass/Al/a-Si at 300°C, the crystallization of a-Si occurred not only in the original Al layer but also in the original a-Si layer. With lowering crystallization temperature of glass/Al/Al oxide/a-Si, it is observed that poly-Si films become oriented preferentially in the (1 0 0) direction normal to the surface and had larger grains. These preferentially (1 0 0) oriented Si thin films can act as good seed layers for the growth of the active layers by liquid phase epitaxy.     

弹着点定位系统中初至信号拾取方法

对于弹丸落地后地震信号的准确拾取是利用地震信号进行弹丸落点定位的关键环节.以主频50 Hz的雷克子波为原始信号,通过引入不同的噪声分别分析长短时窗能量值比法(STA/LTA)、基于自回归模型的Akaike信息准则的AR-AIC方法和基于高阶统计量偏度和峰度的PAI-S/K法等3种拾取微震事件方法的拾取精度与可靠性.同时,分别采用这3种方法对试验数据进行识别.结果表明:对于信噪比较高的试验信号,3种方法都有很高的拾取精度,而对于微震事件,AIC法相较于另外两种方法具有更高的拾取精度与可靠性.     

Ti2 AIC三元可加工陶瓷原位反应合成的研究

以Ti粉、Al粉和活性炭粉体为原料,采用高能球磨及真空热压烧结技术制备纯度较高的Ti2AIC陶瓷,通过DSC、XRD等测试手段研究了该工艺的反应合成过程,并重点分析了Al含量对反应过程及材料微结构的影响.结果表明,Al含量对合成Ti2AIC陶瓷有很大的影响,当体系中Al含量为28%时,在氩气保护下高能球磨12 h,形成以Ti、TiC和Ti-AI金属间化合物为主的复合粉体,该复合粉体在1 300℃真空热压烧结即可获得单一物相Ti2AlC块体.     

基于AIC准则的气动位置控制系统辨识

为了解决气动位置控制系统的精确定位,提出了一种基于AIC准则的气动位置控制系统辨识.通过对气动位置控制系统分析,建立了系统数学模型,并进行了线性化处理.基于AIC准则建立了白噪声和有色噪声两种模型,找到了满足两种模型最小的阶次,采用增广最小二乘法实现对有色噪声参数的无偏估计;通过自相关系数检验了系统残差序列的白色性,验...     

TLV320AIC23B与TMS320DM642的接口设计

介绍了高性能立体声音频Codec芯片TLV320AIC23B的原理以及11公司多媒体DSP处理器TMS320DM642的多通道音频串行端口的主要特点；详细分析了TLV320AIC23B控制寄存器的配置和工作过程；把两路IIC总线切换成4路．实现了4片TLV320AIC23B与TMS320DM642的连接；同时给出了详细的软件实现方法，软件采用C语言编写并充分利用了TMS320DM642的片级支持库。从而实现了4路音频的同时采集与处理。     

认知星地混合网络中基于干扰约束的最优功率控制方法

在认知星地混合网络中,当卫星用户作为次级用户时,为了不影响地面主用户系统的正常工作,在上行链路中要对卫星用户进行必要的功率控制。针对衰落信道场景,选择最大化卫星用户的遍历容量（EC）作为优化的目标函数,分别提出了基于峰值干扰功率约束（PIC）和平均干扰功率约束（AIC）的功率控制方法,并给出了最优发射功率的闭合表达式。仿真结果表明,卫星信道条件越好、地面干扰链路衰减越大,卫星用户的性能越好;除此之外,基于AIC的功率控制方法要优于基于PIC的功率控制方法。