Abstract
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 times faster using 2 times 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) |
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Article number | 9200667 |
Pages (from-to) | 1687-1700 |
Number of pages | 14 |
Journal | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Volume | 40 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2021 |
Keywords
- Computer-aided design (CAD)
- parallel programming systems
- task parallelism
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering