Cpp-Taskflow: A General-purpose Parallel Task Programming System at Scale

Tsung-Wei Huang, Yibo Lin, Chun Xun Lin, Guannan Guo, Martin D.F. Wong

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces Cpp-Taskflow, a high-performance parallel task programming system, to streamline the building of large and complex parallel applications. Cpp-Taskflow leverages the power of modern C++ and task-based approaches to enable efficient implementations of parallel decomposition strategies. Our programming model can quickly handle not only traditional loop-level parallelism, but also irregular patterns such as graph algorithms and dynamic control flows. Compared with existing libraries, Cpp-Taskflow is more cost efficient in performance scaling and software integration. We have evaluated Cpp-Taskflow on both micro-benchmarks and large-scale design automation problems of million-scale tasking. In a particular timing analysis workload, Cpp-Taskflow outperformed OpenMP by 2× faster using 2× fewer lines of code. We have also shown Cpp-Taskflow achieved up to 47.81% speed-up with 28.5% less code over the industrial-strength library, Intel Threading Building Blocks, on a detailed placement problem.

Keywords

  • C++ languages
  • computer-aided design.
  • Heuristic algorithms
  • Libraries
  • Parallel processing
  • Parallel programming systems
  • Programming
  • Task analysis
  • task parallelism
  • Timing

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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