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

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

18 Citations (Scopus)


This article 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.
Original languageEnglish
Pages (from-to)1687-1700
Number of pages14
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Issue number8
Publication statusPublished - Aug 2021

User-Defined Keywords

  • Computer-aided design (CAD)
  • parallel programming systems
  • task parallelism


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