MassiveThreads: A Thread Library for High Productivity Languages

Author:

Nakashima Jun,Taura Kenjiro

Publisher

Springer Berlin Heidelberg

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. nOS-V: Co-Executing HPC Applications Using System-Wide Task Scheduling;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. FinD: Fine-grained Dynamic Task Scheduling with Lightweight Threads on Many-core Processors;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

3. Taskgraph: A Low Contention OpenMP Tasking Framework;IEEE Transactions on Parallel and Distributed Systems;2023-08

4. Parallelism in a Region Inference Context;Proceedings of the ACM on Programming Languages;2023-06-06

5. Toward runtime support for unstructured and dynamic exascale-era applications;The Journal of Supercomputing;2023-01-10

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