An automatic thread decomposition approach for pipelined multithreading

  • Authors:

  • Yuanming Zhang;Kanemitsu Ootsu;Takashi Yokota;Takanobu Baba

  • Affiliations:

  • College of Computer Science and Technology, Zhejiang University of Technology, 18 Chaowang St., Hangzhou 310014, China;Department of Information Science, Utsunomiya University, 7-1-2 Yoto, Utsunomiya 321-8585, Japan;Department of Information Science, Utsunomiya University, 7-1-2 Yoto, Utsunomiya 321-8585, Japan;Department of Information Science, Utsunomiya University, 7-1-2 Yoto, Utsunomiya 321-8585, Japan

  • Venue:
  • International Journal of High Performance Computing and Networking
  • Year:
  • 2013

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Abstract

Thread decomposition is critical for pipelined multithreading PMT to gain higher performance on target multi-core processors. This paper presents an automatic thread decomposition approach, which maps the decomposition problem onto a graph-theoretic framework to construct an optimised directed acyclic graph DAG with minimal bottleneck node size and balanced node size. In this approach, control dependence is treated as special data dependence and then an effective approach is proposed to remove redundant control dependences. A weighted DAG is constructed by assigning appropriate weights to all nodes and all dependences according to profile information. An automatic thread decomposition algorithm is given to generate an optimised pipeline based on the weighted DAG. The algorithm has been evaluated on a commodity multi-core processor, and experimental results show that it has achieved speedup ranging from 113% to 174% on some SPEC CPU 2000 benchmark programs.