DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms
DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms
复制标题
DASH：用于分布式数据结构和并行算法的 C PGAS 库
DOI：
10.1109/hpcc-smartcity-dss.2016.0140
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
R. Kowalewski
中科院分区：
文献类型：
--
作者：
K. Fürlinger;Tobias Fuchs;R. Kowalewski
我们提出了DASH，一个C++模板库，提供分布式数据结构和并行算法，并实现了一个编译器免费PGAS（分区全局地址空间）的方法。DASH提供了许多生产力和性能功能，例如全局视图数据结构，对所有者计算模型的有效支持，灵活的多维数据分布方案以及与STL（标准模板库）算法的互操作性。DASH还具有并行目标机器的灵活表示，并允许通过团队的概念利用几个分层组织的本地级别。我们在许多基准应用程序上评估DASH，并使用MPI双侧模型将科学代理应用程序移植到DASH。我们发现DASH提供了出色的生产力和性能，并展示了高达9800个核心的可扩展性。
We present DASH, a C++ template library that offers distributed data structures and parallel algorithms and implements a compiler-free PGAS (partitioned global address space) approach. DASH offers many productivity and performance features such as global-view data structures, efficient support for the owner-computes model, flexible multidimensional data distribution schemes and interoperability with STL (standard template library) algorithms. DASH also features a flexible representation of the parallel target machine and allows the exploitation of several hierarchically organized levels of locality through a concept of Teams. We evaluate DASH on a number of benchmark applications and we port a scientific proxy application using the MPI two-sided model to DASH. We find that DASH offers excellent productivity and performance and demonstrate scalability up to 9800 cores.