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MulticoreBSP for C: A High-Performance Library for Shared-Memory Parallel Programming

机译：MulticoreBSP for C：用于共享内存并行编程的高性能库

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摘要

The bulk synchronous parallel (BSP) model, as well as parallel programming interfaces based on BSP, classically target distributed-memory parallel architectures. In earlier work, Yzelman and Bisseling designed a MulticoreBSP for Java library specifically for shared-memory architectures. In the present article, we further investigate this concept and introduce the new high-performance MulticoreBSP for C library. Among other features, this library supports nested BSP runs. We show that existing BSP software performs well regardless whether it runs on distributed-memory or shared-memory architectures, and show that applications in MulticoreBSP can attain high-performance results. The paper details implementing the Fast Fourier Transform and the sparse matrix-vector multiplication in BSP, both of which outperform state-of-the-art implementations written in other shared-memory parallel programming interfaces. We furthermore study the applicability of BSP when working on highly non-uniform memory access architectures.
机译：批量同步并行（BSP）模型以及基于BSP的并行编程接口，通常是目标分布式内存并行体系结构。在早期的工作中，Yzelman和Bisseling为Java库设计了一个MulticoreBSP，专门用于共享内存体系结构。在本文中，我们将进一步研究此概念，并介绍适用于C库的新型高性能MulticoreBSP。除其他功能外，该库还支持嵌套的BSP运行。我们证明了现有的BSP软件无论在分布式内存架构还是共享内存架构上运行都表现良好，并且表明MulticoreBSP中的应用程序可以实现高性能。本文详细介绍了在BSP中实现快速傅立叶变换和稀疏矩阵矢量乘法的方法，二者均优于其他共享内存并行编程接口中编写的最新实现。我们还研究在高度不统一的内存访问体系结构上工作时BSP的适用性。

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