A newcomer in the Partitioned Global Address Space (PGAS) 'world' has arrived in its version 1.0: Unified Parallel C++ (UPC++). UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, futures and promises. UPC++ API for moving non-contiguous data and handling memories with different optimal access methods resemble those used in modern C++. In this study we provide two kernels implemented in UPC++: a sparse-matrix vector multiplication (SpMV) as part of a Partial-Differential Equation solver, and an implementation of the Heat Equation on a 2D-domain. Code listings of these two kernels are available in the article in order to show the differences in programming style between UPC and UPC++. We provide a performance comparison between UPC and UPC++ using single-node, multi-node hardware and many-core hardware (Intel Xeon Phi Knight's Landing).

中文翻译：

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PGAS世界中的新人-UPC ++与UPC：比较研究

分区全局地址空间（PGAS）“世界”中的一个新成员已经发布了其版本1.0：统一并行C ++（UPC ++）。UPC ++的目标是通讯不规则或细粒度的分布式数据结构。关键抽象是全局指针，通过RPC进行的异步编程，期货和承诺。UPC ++ API用于移动非连续数据并使用不同的最佳访问方法处理内存，与现代C ++中使用的API类似。在这项研究中，我们提供了两个用UPC ++实现的内核：作为偏微分方程求解器一部分的稀疏矩阵矢量乘法（SpMV），以及在2D域上实现热方程的实现。本文中提供了这两个内核的代码清单，以显示UPC和UPC ++在编程风格上的差异。