用DFC在昆仑小型计算机上实现矩阵乘法

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI:10.1109/PDCAT46702.2019.00032

Zheng Du, Jing Zhang, Shihao Sha, Qiuming Luo

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引用次数: 0

摘要

在本文中，我们展示了一个新的DFC数据流平台，它可以处理带标记数据的连续数据流计算传递。通过在DFC中实现矩阵乘法，我们证明了DFC可以通过DFC的DF函数构造一个非常简单的数据流图来自动利用并行性。与其他数据流执行平台不同，DFC支持为DF函数的一个数据流节点提供多个工作线程。通过在昆仑系统上运行DFC的矩阵乘法程序，验证了DFC在线程数高达512的大规模计算中获得了合理的加速。

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Implementing the Matrix Multiplication with DFC on Kunlun Small Scale Computer

In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit the parallelism automatically with a much simple dataflow graph constructed by DF functions of DFC. Different from the other dataflow execution platform, DFC support multiple worker threads for one dataflow node of DF functions. By running the matrix multiplication program of DFC on Kunlun system, it was verified that DFC get a reasonable speedup for large scale computing for thread number up to 512.

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2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

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