### 计算机代写|C++作业代写C++代考|Small Overhead, Big Benefits for C++

C++ 是一种高级语言，它是由Bjarne Stroustrup 于1979 年在贝尔实验室开始设计开发的。 C++ 进一步扩充和完善了C 语言，是一种面向对象的程序设计语言。 C++ 可运行于多种平台上，如Windows、MAC 操作系统以及UNIX 的各种版本。

statistics-lab™ 为您的留学生涯保驾护航 在代写C++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C++代写方面经验极为丰富，各种代写C++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

## 计算机代写|C++作业代写C++代考|Big Benefits for C++

We do not mean to make too big a deal about performance loss, nor do we wish to deny it. For simple C++ code written in a “Fortran” style, with a single layer of wellbalanced parallel loops, the dynamic nature of TBB may not be needed at all. However, the limitations of such a coding style are an important factor in why TBB exists. TBB was designed to efficiently support nested, concurrent, and sequential composition of parallelism and to dynamically map this parallelism on to a target platform. Using a composable library like TBB, developers can build applications by combining components and libraries that contain parallelism without worrying that they will negatively interfere with each other. Importantly, TBB does not require us to restrict the parallelism we express to avoid performance problems. For large, complicated applications using $\mathrm{C}++$, TBB is therefore easy to recommend without disclaimers.
The TBB library has evolved over the years to not only adjust to new platforms but also to demands from developers that want a bit more control over the choices the library makes in mapping parallelism to the hardware. While TBB $1.0$ had very few performance controls for users, TBB 2019 has quite a few more – such as affinity controls,

constructs for work isolation, hooks that can be used to pin threads to cores, and so on. The developers of TBB worked hard to design these controls to provide just the right level of control without sacrificing composability.

The interfaces provided by the library are nicely layered – TBB provides high-level templates that suit the needs of most programmers, focusing on common cases. But it also provides low-level interfaces so we can drill down and create tailored solutions for our specific applications if needed. TBB has the best of both worlds. We typically rely on the default choices of the library to get great performance but can delve into the details if we need to.

## 计算机代写|C++作业代写C++代考|Evolving Support for Parallelism in TBB and C++

Both the TBB library and the $\mathrm{C}++$ language have evolved significantly since the introduction of the original TBB. In $2006, C_{++}$had no language support for parallel programming, and many libraries, including the Standard Template Library (STL), were not easily used in parallel programs because they were not thread-safe.

The $\mathrm{C}++$ language committee has been busy adding features for threading directly to the language and its accompanying Standard Template Library (STL). Figure 1-1 shows new and planned $\mathrm{C}_{++}$features that address parallelism. Even though we are big fans of TBB, we would in fact prefer if all of the fundamental support needed for parallelism is in the $\mathrm{C}++$ language itself. That would allow TBB to utilize a consistent foundation on which to build higher-level parallelism abstractions. The original versions of TBB had to address a lack of $\mathrm{C}++$ language support, and this is an area where the $\mathrm{C}++$ standard has grown significantly to fill the foundational voids

that TBB originally had no choice but to fill with features such as portable locks and atomics. Unfortunately, for $\mathrm{C}_{++}$developers, the standard still lacks features needed for full support of parallel programming. Fortunately, for readers of this book, this means that TBB is still relevant and essential for effective threading in $\mathrm{C}++$ and will likely stay relevant for many years to come.
It is very important to understand that we are not complaining about the $\mathrm{C}++$ standard process. Adding features to a language standard is best done very carefully, with careful review. The $\mathrm{C}++11$ standard committee, for instance, spent huge energy on a memory model. The significance of this for parallel programming is critical for every library that builds upon the standard. There are also limits to what a language standard should include, and what it should support. We believe that the tasking system and the flow graph system in TBB is not something that will directly become part of a language standard. Even if we are wrong, it is not something that will happen anytime soon.

## 计算机代写|C++作业代写C++代考|Recent C++ Additions for Parallelism

As shown in Figure 1-1, the $\mathrm{C}++11$ standard introduced some low-level, basic building blocks for threading, including std: : async, std:: future, and std:: thread. It also introduced atomic variables, mutual exclusion objects, and condition variables. These extensions require programmers to do a lot of coding to build up higher-level abstractions – but they do allow us to express basic parallelism directly in $\mathrm{C}++$. The C++11 standard was a clear improvement when it comes to threading, but it doesn’t provide us with the high-level features that make it easy to write portable, efficient parallel code. It also does not provide us with tasks or an underlying work-stealing task scheduler.
The $\mathrm{C}++17$ standard introduced features that raise the level of abstraction above these low-level building blocks, making it easier for us to express parallelism without having to worry about every low-level detail. As we discuss later in this book, there are still some significant limitations, and so these features are not yet sufficiently expressive or performant – there’s still a lot of work to do in the $\mathrm{C}++$ standard.

The most pertinent of these $\mathrm{C}++17$ additions are the execution policies that can be used with the Standard Template Library (STL) algorithms. These policies let us choose whether an algorithm can be safely parallelized, vectorized, parallelized and vectorized, or if it needs to retain its original sequenced semantics. We call an STL implementation that supports these policies a Parallel STL.

Looking into the future, there are proposals that might be included in a future $\mathrm{C}_{++}$ standard with even more parallelism features, such as resumable functions, executors, task blocks, parallel for loops, SIMD vector types, and additional execution policies for the STL algorithms.

## 计算机代写|C++作业代写C++代考|Big Benefits for C++

TBB 库多年来不断发展，不仅可以适应新平台，还可以满足开发人员的需求，这些开发人员希望更好地控制库在将并行性映射到硬件时所做的选择。虽然待定1.0对用户的性能控制很少，TBB 2019 有更多——比如亲和力控制，

## 计算机代写|C++作业代写C++代考|Evolving Support for Parallelism in TBB and C++

TBB 库和C++自最初的 TBB 引入以来，语言已经发生了显着变化。在2006,C++没有对并行编程的语言支持，包括标准模板库 (STL) 在内的许多库都不容易在并行程序中使用，因为它们不是线程安全的。

TBB 原本别无选择，只能填充便携式锁和原子锁等功能。不幸的是，对于C++开发人员，该标准仍然缺乏完全支持并行编程所需的功能。幸运的是，对于本书的读者来说，这意味着 TBB 对于有效的线程化仍然是相关的和必不可少的。C++并且可能会在未来很多年保持相关性。

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。