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- W1819211029 abstract "Dataflow machines, especially fine-grain architectures, have been studied for a long time as a promising way to build high performance computers that execute various kinds of parallel programs efficiently. Fine-grain dataflow machines are succeeding in extracting a lot of parallelism, but are also showing some weaknesses. Problems occur due to the overhead associated with each token, with the exploitation of locality and the use of finite resources (throttling problem)." @default.
- W1819211029 created "2016-06-24" @default.
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- W1819211029 date "1990-01-01" @default.
- W1819211029 modified "2023-09-24" @default.
- W1819211029 title "ADAM: a coarse-grain dataflow architecture that addresses the load balancing and throttling problems" @default.
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- W1819211029 doi "https://doi.org/10.1007/3-540-53065-7_106" @default.
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