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• W200932817 abstract "The dataflow architectures are well-known for their ability to expose large amounts of parallelism. However, when running highly parallel programs this property can become a serious drawback. Due to the aggressive exposure of parallelism, a large amount of storage may be needed to hold intermediate results of the computation. Diverse throttling mechanisms have been proposed so far, both in hardware and in software, but none of them seems to offer a definitive solution. For such a mechanism to work, it should not only be able to limit the exploitation of further parallelism depending on the load of the machine, but it should also be able to guess with sufficient accuracy which portions of the code should be executed next. This goal can be very difficult to achieve, especially in conjunction with a nonstrict execution model. Load balancing mechanisms were incorporated from the beginning into the ADAM architecture. In contrast to most other dataflow designs, this machine has a strict execution model, which may restrict the exploitable parallelism in some cases, but makes resource management much easier. The ADAM architecture is actually a von Neumann / dataflow hybrid, which uses blocks of code as scheduling quanta instead of individual instructions. Codeblocks behave like small processes, which can be started and stopped with just a few instructions. Split-phase transactions are used to access remote data and implicit synchronization mechanisms are used to stop the execution of codeblocks trying to access results which are not yet available. This paper will first describe briefly the execution model of the ADAM machine and then explain the algorithms and heuristics used for load management. The resources needed to run several example programs exhibiting widely different execution patterns will be shown, based on simulation results. The total storage requirements during program execution will be shown, as well as other interesting quantities, like the number of executable codeblocks, the number of codeblock tokens, i.e. the number of codeblocks which have not yet been scheduled for execution, and the ratio of local calls versus external calls, which shows how well locality is being exploited." @default.
• W200932817 created "2016-06-24" @default.
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• W200932817 date "1992-01-01" @default.
• W200932817 modified "2023-09-27" @default.
• W200932817 title "Load Balancing and Resource Management in the ADAM Machine" @default.
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