Is Parallel Programming Hard [v20191222a # Paul E. McKenney]

mfem：轻量，通用，可扩展的C ++库，用于有限元方法

Intel Parallel Studio XE Cluster Edition for Windows Update1版

Parallel Programming with Microsoft.NET

Wrox Press 2010出版，并行编程+c#，提供给感兴趣的朋友 In 2007, Microsoft released the fi rst Community Technology Preview (CTP) of Parallel Extensions for the .NET Framework. The old .NET Framework multithreading programming model was too complex and heavyweight for the forthcoming multicore and manycore CPUs. I had been researching parallel programming, multiprocessor, and multicore since 1997, so I couldn’t help installing the fi rst CTP and trying it. It was obvious that it was going to be an exciting new way of expressing parallelism in future C# versions. Visual Studio 2010 ships with version 4 of the .NET Framework, the fi rst release to include Parallel Extensions. C# 4 and .NET Framework 4 allow you to shift to a modern task-based programming model to express parallelism. It is easier to write code that takes advantage of multicore microprocessors. Now, you can write code that scales as the number of available cores increases, without having to work with complex managed threads. You are able to write code that runs tasks, and the Common Language Runtime (CLR) will inject the necessary threads for you. It is easy to run data parallelism algorithms taking advantage of multicore. At the time of this writing, multicore microprocessors are everywhere. Servers, desktop computers, laptops and notebooks, netbooks, mobile Internet devices (MIDs), tablets, and even smartphones use multicore microprocessors. The average number of cores in each microprocessor is going to increase in the forthcoming years. Are you going to lose the opportunity to transform this multicore power into application performance? Parallel programming must become part of your skill set to effectively develop applications for modern hardware in C#. I spent more than three years working with the diverse versions of Parallel Extensions until Visual Studio 2010 was offi cially released. I enjoyed developing parallelized applications with C#, and I did my best to include explanations for the most common scenarios in this book. Visual Studio 2010 provides an IDE prepared for a parallel developer, and C# is an excellent fi t for the new task-based programming model. amazon Link：http://www.amazon.com/exec/obidos/ASIN/0470495995/buythisbooks-20

Professional Parallel Programming with C#.pdf

Intel Parallel Studio XE 2016 Licence File

.net下，C#语言的多线程示例，使用Parallel类

主要介绍了C#使用Parallel类进行多线程编程的方法,实例分析了Parallel类的相关使用技巧,需要的朋友可以参考下

神经元 并行神经网络微框架。 在阅读论文。 特征 任意形状和大小的密集、完全连接的神经网络 具有均方误差成本函数的反向传播 基于数据的并行性 几个激活函数 支持 32、64 和 128 位浮点数 入门 获取代码： git clone https://github.com/modern-fortran/neural-fortran cd neural-fortran 依赖项： Fortran 2018 兼容编译器 OpenCoarrays（可选，用于并行执行，仅限 GFortran） BLAS、MKL（可选） 使用 fpm 构建 以串行模式构建 fpm build --flag "-cpp -O3 -ffast-math fcoarray=single" 以并行模式构建 如果您使用 GFortran 并希望并行运行神经 fortran，则必须首先安装OpenCoarray