Dataflow Architecture

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Dataflow Architecture

Dataflow Architecture

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Allows multiple data tokens on the arc of dataflow Allows multiple loop iterations at one time An extra tag is added to tokens and containsaddress context and loop number Instruction Cells are changed to acceptmultiple tokens of different tags Overall effect is the creation of reentrant subgraphs Examples: MIT Tagged-Token Data Flow,Manchester <strong>Dataflow</strong>

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Pros:Simple ModelCons:Loops can not be run in parallelToken Traffic DoubleHand shaking wastes timeNo support for procedure calls

Allows multiple data tokens on the arc of dataflow Allows multiple loop iterations at one time An extra tag is added to tokens and containsaddress context and loop number Instruction Cells are changed to acceptmultiple tokens of different tags Overall effect is the creation of reentrant subgraphs Examples: MIT Tagged-Token Data Flow,Manchester <strong>Dataflow</strong>

Page 9 and 10: XexecutionXSWITCHTFTexecutionSWITCH
Page 11 and 12: Describes dataflowgraph Data tokens
Page 13: Allows at most 1 data tokenon the a
Page 17 and 18: Threaded Dataflow- subgraphs with l
Page 20 and 21: Main problem: everywrite to a struc
Page 22: Potential to unlock the inherent pa