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.
|Original language||English (US)|
|Journal||IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems|
|State||Accepted/In press - 2020|
- C++ languages
- computer-aided design.
- Heuristic algorithms
- Parallel processing
- Parallel programming systems
- Task analysis
- task parallelism
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering