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Taskflow addresses the long-standing question: "How can we make it easier for developers to write parallel and heterogeneous programs with high performance and simultaneous high productivity?" Modern scientific computing relies on a heterogeneous mix of computational patterns, domain algorithms, and specialized hardware to achieve key scientific milestones that go beyond traditional capabilities. However, programming these applications is very challenging, due to various concurrency details that are known difficult to program correctly. Taskflow aims to streamline this process by developing new powerful programming models and system runtimes to assist developers with the implementation and development of parallel algorithms.
Taskflow has helped many applications boost their performance using minimal programming effort. It is being used by many academic and industrial projects on parallelism. Your support is essential for Taskflow to continue on its vision for an open, accessible, and sustainable system asset for parallel and heterogeneous computing.
2 sponsors have funded taskflow’s work.
A General-purpose Task-parallel Programming System in C++
Profiling Taskflow Programs through Visualization
Taskflow website
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