电子工程代写|计算机系统结构代写Computer Systems Architecture代考|CS1533

statistics-lab™ 为您的留学生涯保驾护航 在代写计算机系统结构Computer Systems Architecture方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写计算机系统结构Computer Systems Architecture方面经验极为丰富，各种代写计算机系统结构Computer Systems Architecture相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

A combination of all three objectives is possible in general, but there does not exit an overall optimal solution. In this context the degree of $F T$ is rated by the overhead in performance (and energy) that results from the fault tolerance techniques in both the fault-free and fault case. Therefore, a compromise between the optimization criteria must be made. While one criterion is improved, either one or both of the others are worsened.

When we focus on $P E$ of a schedule, it is dependent on the mapping of the tasks. The more an application can be parallelized the better is the performance. Additionally, modern processors support several frequencies at which a processor can run. Thus, tasks should be accelerated as much as possible, i.e. use the highest supported frequency of a PU. In contrast, a more parallelized application results in fewer gaps between tasks and thus in fewer possibilities to include duplicates without shifting successor tasks. This results in a high performance overhead in case of a failure, e.g. a low $F T$. Additionally, running on a high frequency typically leads to a high $E$. When we focus on $F T$, duplicates should be executed completely in the fault-free case and available but unused PUs should also be considered for mapping duplicates to minimize performance loss in case of a fault. In this case, duplicates may lead to shifts of original tasks and thus to a low $P E$ in the fault-free case. In terms of $E$, both executing duplicates completely and using available PUs not necessary for the original tasks result in a high $E$. Is the focus put on $E$, low frequencies and short duplicates are preferable. But low frequencies lead to low $P E$ and short duplicates to a high performance overhead $(F T)$ in case of a failure.

In addition, the main focus of a user varies in different situations. For example, in a time critical environment, $P E$ is the most important criterion next to $F T$. Thus, in this situation $P E$ and also $F T$ is usually favored over minimizing $E$. Another situation is, that a failure occurs extremely rarely and thus $E$ is becoming more important. Other examples exist in mobile devices where $E$ is the most important criterion next to $P E$. The main focus is therefore put on $E$ and $P E$ while $F T$ is neglected. However, the alignment of the optimization is very situational and ultimately depends highly on the user preferences.

电子工程代写|计算机系统结构代写Computer Systems Architecture代考|Previous Approach

Fechner et al. [10] provides a fault-tolerant duplication-based scheduling approach that guarantees no overhead in a fault-free case. Starting from an already existing schedule (and taskgraph), each original task is copied and its duplicate $(D)$ is placed on another $\mathrm{PU}$ than the original task so that in case of a failure the schedule execution can be continued. We assume homogeneous PUs and a fail-stop model, where a failure of a PU might result from a faulty hardware, software or network. We only consider one failure per schedule execution.

If an original task has finished it sends a commit message to its corresponding D so that it can be aborted. Schedules often comprise several gaps between tasks resulting from dependencies. Ds can be placed either in those gaps or directly between two succeeding tasks. To avoid an overhead in a fault-free case, in all situations where a D would lead to a shift of all its successor tasks only a placeholder, a so called dummy duplicate (DD) is placed. DDs are only extended to fully Ds in case of a failure. To reduce the communication overhead, Ds are placed with a short delay, so called slack. Thus, either the results of an original task are sent to its successor tasks or the results of the corresponding $\mathrm{D}$, but not both. Figure 1(a) illustrates an example taskgraph. For a better understanding the communication times and the slack are disregarded. Figure 1(b) and (c) show the resulting schedules of two strategies, the first uses only DDs the second uses Ds and DDs.

广义线性模型代考

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MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。