Four styles of parallel and net programming

Four styles of parallel and net programming
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并行和网络编程的四种风格

DOI:
10.1007/s11704-009-0028-0
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发表时间:
2009-05
期刊:
Journal of Frontiers of Computer Science
影响因子:
--
通讯作者:
Li Zha
Li Zha
中科院分区:
其他
文献类型:
--
作者:
Zhiwei Xu;Wei Lin;Yongqiang He;Li Zha

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本文回顾了并行和网络计算系统的编程前景,重点关注四种风格的并发编程模型以及示例语言/库。这四种风格对应于目标系统的四种规模。在最小的协处理器规模上,考虑单指令多线程(SIMT)和统一计算设备架构(CUDA)。事务内存是在多核或进程规模上讨论的。 MapReduce 风格是在数据中心规模上进行检查的。在互联网规模上,回顾了网格服务标记语言(GSML),它旨在整合分布在多个数据中心的资源。四种风格关注和强调不同的问题,满足不同规模的系统的需要。本文讨论了与效率、易用性和表现力相关的问题。
This paper reviews the programming landscape for parallel and network computing systems, focusing on four styles of concurrent programming models, and example languages/libraries. The four styles correspond to four scales of the targeted systems. At the smallest coprocessor scale, Single Instruction Multiple Thread (SIMT) and Compute Unified Device Architecture (CUDA) are considered. Transactional memory is discussed at the multicore or process scale. The MapReduce style is examined at the datacenter scale. At the Internet scale, Grid Service Markup Language (GSML) is reviewed, which intends to integrate resources distributed across multiple datacenters.The four styles are concerned with and emphasize different issues, which are needed by systems at different scales. This paper discusses issues related to efficiency, ease of use, and expressiveness.
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